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Tytuł:
Forecasting the demand for transport services on the example of a selected logistic operator
Autorzy:
Grzelak, Małgorzata
Borucka, Anna
Buczyński, Zbigniew
Powiązania:
https://bibliotekanauki.pl/articles/223984.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
multiple regression
forecasting
cross-docking
Opis:
The number of shipments is growing every year, and as a result, new transport companies arise. The increase in competition requires from entrepreneurs to apply solutions increasing the level of services provided in order to best satisfy the needs of the customers. In this aspect, minimizing the time of deliveries is extremely important, and it can be achieved, for example, by implementing the cross-docking method. It consists in consolidation of cargo from different shipment locations that is delivered in the same direction. The main feature of the above method is to keep the labor intensity of operations and the interference in the cargo to the minimum. The purpose of this article is to present a research on a logistic operator working based on a cross-docking warehouse with a capacity significantly lower than the average daily quantity of shipments handled. This requires both effective management of the available space and minimizing the time spent on manipulation activities. Therefore, it is important to know the expected number of parcels that are planned to be received and shipped on a given day in order to coordinate the work in the warehouse. It is possible to estimate it by using mathematical methods of forecasting. One of them - the multiple regression - is presented in this article. The calculations were made on the basis of collected empirical observations concerning orders for pallet spaces placed by customers. Such a forecast allows for improvement of the processes of planning and management of the possessed resources. It allows to adjust the number of warehouse workers or vehicles necessary for internal transport to the expected needs. Ultimately, it may translate into more efficient functioning not only of the surveyed branch, but also of the whole network.
Źródło:
Archives of Transport; 2019, 52, 4; 81-93
0866-9546
2300-8830
Pojawia się w:
Archives of Transport
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Choosing Important Traits for the Model of High-Yielding Winter Wheat Variety Based on the Results of Regional Ecological Varietal Testing
Autorzy:
Lykhovyd, Pavlo
Powiązania:
https://bibliotekanauki.pl/articles/24201735.pdf
Data publikacji:
2023
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
ideotype
modelling
multiple regression
productivity
varietal trait
Opis:
Current study is devoted to the development of an ideotype of winter wheat variety for cultivation in the conditions of the South of Ukraine. The investigation is based on the results of regional ecological varietal testing, conducted in the Southern Steppe zone on the non-irrigated lands. Varietal traits, included in the study, embraced growing season duration, 1000 grains weight, plant height, and ear length. The results of the testing were further processed using statistical procedures of linear Pearson’s correlation analysis and multiple regression analysis. As a result, the model of a winter wheat variety for the non-irrigated lands of the South of Ukraine was developed. The developed model is characterized by very high fitting quality (R2 = 0.9476) and good prediction accuracy (MAPE = 23.27%). According to the model, the variety should be late ripening with moderate to high plant height to provide the highest grain yield. The trait of 1000 grains weight was found out to be unimportant. The main trait, providing for the grain yield increase, is growing season duration, which must be long enough. Further ecological varietal testing studies with inclusion of additional varietal traits, such as cold-resistance, drought-resistance, frost-resistance, tolerance to diseases, etc., are to be conducted to extend the ideotype of winter wheat.
Źródło:
Journal of Ecological Engineering; 2023, 24, 6; 8--12
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Forecasting production volume in a plastics enterprise
Autorzy:
Grzelak, Małgorzata
Powiązania:
https://bibliotekanauki.pl/articles/970665.pdf
Data publikacji:
2019-03-31
Wydawca:
Uniwersytet Gdański. Wydział Ekonomiczny
Tematy:
multiple regression model
production scheduling
readiness
forecasting
Opis:
The functioning of production enterprises is based on satisfying the needs of customers through the timely manufacture of products in accordance with the demand existing on the market. The availability of the offered range of products is guaranteed by a correct preparation of forecasts of potential orders. This article presents a multiple-regression-method-based tool supporting the planning of production volumes in an enterprise depending on the calendar month. Reliability analysis of the developed model through the analysis of residuals and their autocorrelations and partial autocorrelations is also presented. Key words: multiple regression model, production scheduling, readiness, forecasting JEL classification: C2, C22.
Źródło:
Współczesna Gospodarka; 2019, 10, 1 (32); 69-78
2082-677X
Pojawia się w:
Współczesna Gospodarka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Gender roles in teff value chain in borecha district of south western Ethiopia: husband and wife comparisions
Autorzy:
Bekele, Adugna Eneyew
Tekalign, Sisaynesh
Mitiku, Fikadu
Powiązania:
https://bibliotekanauki.pl/articles/1902619.pdf
Data publikacji:
2020-04-02
Wydawca:
Uniwersytet Przyrodniczy w Poznaniu. Wydawnictwo Uczelniane
Tematy:
Actor
Gender
Multiple regression
Teff
Value chain
Opis:
Teff is a highly valuable grain for Ethiopian people in generating income and achieving food security. Using unique cross-sectional data from husbands and wives, descriptive statistics and an econometric model, this paper analyzes gender roles in the teff value chain in south-western Ethiopia. Primary data was collected from 117 farmers, 38 traders and 14 consumers. Findings indicate that women contribute more than their husbands to teff production, and their labor burden exceeds that of their husbands since they perform reproductive activities in which men do not participate. Most women are involved in the production, processing and retailing of teff. In turn, their husbands control the wholesale process and cash generated. However, it is difficult to calculate the labor share of women in the household. There are very weak linkages between actors of the entire teff value chain. Among the main determinants of teff market supply, education of the respondent, land area, market information and cooperative membership have a positive effect. Conversely, distance to market negatively affected teff market supply. Therefore, enhancing cooperation between teff value chain actors and providing women with access to training, education and extension services should be a policy priority in the study areas.
Źródło:
Journal of Agribusiness and Rural Development; 2020, 55, 1; 93-105
1899-5241
Pojawia się w:
Journal of Agribusiness and Rural Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Determinants of the experts evaluation of journals in economic sciences
Autorzy:
Osiewalski, Jacek
Osiewalska, Anna
Powiązania:
https://bibliotekanauki.pl/articles/703006.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
scientometrics
multiple regression statistical model
model reduction
Opis:
In 2015 an important part of the official evaluation of Polish scientific journals was left to experts’ judgement. In this paper we try to establish which observable factors (with available data) are closely related to the outcome of experts’ evaluation of Polish journals in economic sciences. Using the multiple regression statistical model we show that only 5 variables (out of 17) significantly explain almost 50% of the empirical variance of the experts’ evaluation. The determinants of particular interest, not entering the formal criteria and not related to the impact on global science, are: the number of citations mainly in Polish journals and the affiliation with the Polish Academy of Sciences.
Źródło:
Nauka; 2017, 1
1231-8515
Pojawia się w:
Nauka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Burnishing treatment of the faying surface of the pipe flange
Autorzy:
Starosta, W.
Powiązania:
https://bibliotekanauki.pl/articles/246629.pdf
Data publikacji:
2017
Wydawca:
Instytut Techniczny Wojsk Lotniczych
Tematy:
burnishing
pipe flange
flange face
roughness
multiple regression
Opis:
On ships for connecting pipes in seawater installations, fire and other installations and for joining pipes to fittings or receivers, flange-type couplings are often used. It is important to ensure tightness between pipe flanges (ASME). If the system pressure does not exceed 1.6 MPa, “open” flange packing using flat gasket rings is used. Rubber, textolite, polyvinyl chloride or metals and alloys with good plastic properties (e.g. aluminum, copper, Monel alloy, Armco iron) can be used as a sealant material (depending on pressure in installation). The tightness of the joint determines the quality (geometric structure) of the surface of the flange at the contact point with the gasket. Reduced roughness ensures even distribution of surface mounting pressures on flange joint gasket. This article deals with the assessment of the use of burnishing as a finishing treatment for flange faces and the selection of rolling parameters. Samples used for the tests were made of S235J2 carbon steel. Burnishing treatment was done with the SKUV20 tool. The working element of the tool was in the shape of a roller. Burning was performed using the following parameters: the burnishing force (Fn) – 600 N, 800 N and 1000 N; Feed rate (f): 0.08 mm/rev, 0.13 mm/rev, 0.24 mm/rev; the speed of burnishing (vn) – for a diameter of 55 mm – was 45 m/min, 65 m/min, 78 m/min. The research was carried out on the basis of trivalent plan Hartley. As the output variables (dependent variables), the roughness reduction index (KRa) and the (Su) were adopted. Based on the multiple regression analysis, it was found that the greatest impact on reducing roughness and surface hardening of burnished material has burnishing force. The dependence between dependent variables and Fn is proportional. The effect of the burnishing speed (vn) on the values of KRA and Su parameters is statistically insignificant. Machining of the active surface of the pipe flanges should be carried out with a burnishing force of 1 kN, a feed rate of 0.08 mm/rev and a burnishing speed of 45 m/min.
Źródło:
Journal of KONES; 2017, 24, 4; 297-303
1231-4005
2354-0133
Pojawia się w:
Journal of KONES
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Short-term forecasting of natural gas demand by rural consumers using regression models
Prognozowanie krótkookresowe zapotrzebowania odbiorców wiejskich na gaz ziemny z wykorzystaniem modeli regresyjnych
Autorzy:
Necka, K.
Trojanowska, M.
Powiązania:
https://bibliotekanauki.pl/articles/791988.pdf
Data publikacji:
2014
Wydawca:
Komisja Motoryzacji i Energetyki Rolnictwa
Tematy:
short-term forecast
multiple regression
natural gas
rural consumer
regression model
Źródło:
Teka Komisji Motoryzacji i Energetyki Rolnictwa; 2014, 14, 4
1641-7739
Pojawia się w:
Teka Komisji Motoryzacji i Energetyki Rolnictwa
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The determinants of Polish movies’ box office performance in Poland
Autorzy:
Gmerek, Natalia
Powiązania:
https://bibliotekanauki.pl/articles/540606.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Warszawski. Wydawnictwo Naukowe Wydziału Zarządzania
Tematy:
motion picture success
box office performance
multiple regression analysis
Opis:
This paper provides an empirical analysis of financial performance of movies produced in Poland between 2000 and 2011. To understand the reason for a motion picture’s success in the theatrical channel various factors concerning total domestic box office performance were regressed from the box office results of 207 movies. This study proposes that the success of a movie can be determined by three elements: product attributes, distribution-related variables and information sources. The results show that the production budget, movie type – sequel or adaptation, star power, genre, scope of the movie’s release and audience rating are closely related to box office, influencing it in a positive way. On the other hand, critics’ rating, release date (April, July, August) and strong competitive pressure from other movies have a substantial negative influence on box office. The results suggest that the overall movie quality (product-related variables) has an economically and statistically significant effect on total demand for Polish movies.
Źródło:
Journal of Marketing and Consumer Behaviour in Emerging Markets; 2015, 1(1); 15-35
2449-6634
Pojawia się w:
Journal of Marketing and Consumer Behaviour in Emerging Markets
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Evaluating the nexus between financial deepening and economic growth: evidence from Ukraine
Autorzy:
Kondrat, Iryna
Kots, Olha
Powiązania:
https://bibliotekanauki.pl/articles/949679.pdf
Data publikacji:
2018
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
financial deepening
economic growth
banking sector
multiple regression analysis
Opis:
In this paper systemic problems of Ukrainian banking sector are reviewed and the solutions are offered. The main objective of the study is to examine the relationship between a financial deepening and economic growth in Ukraine by estimating several multiple regression models over the 1993 to 2015 period. A real GDP growth per capita was used as an indicator for the economic growth. The domestic credit to private sector (% of GDP) was used as an index of financial depth. The study concludes that financial deepening causes a slight impact on the economic growth of Ukraine. A low level of impact is an indicator of a limitedness of lending to the real economy. This means that banking sector has not become the real driving force of the economic growth in Ukraine yet. The study suggests a statement that policy makers should design the policies which will encourage lending especially high tech production, small and mid-size business, micro financing to the real economy to promote economic growth and increase employment.
Źródło:
Financial Sciences. Nauki o Finansach; 2018, 23, 1; 49-64
2080-5993
2449-9811
Pojawia się w:
Financial Sciences. Nauki o Finansach
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Drivers of strategy and R&D disclosures
Autorzy:
Dyczkowska, Joanna
Powiązania:
https://bibliotekanauki.pl/articles/583023.pdf
Data publikacji:
2017
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
IT companies
multiple regression
strategy and R&D disclosure
Opis:
The paper contributes to the literature on voluntary disclosure of strategy and R&D issues. It refers to disclosures made in the annual reports and at the corporate websites of 69 Polish IT companies. It examines the association between the voluntary disclosure index and company age, size, ownership dispersion, board size, financial performance, leverage and growth prospects. The empirical evidence provided by the research study confirmed that the level of strategy and R&D disclosure was dependent on company age. It was also validated that the larger companies and these listed on the primary market revealed more information on strategy and R&D issues. The study gave evidence that if market capitalization of the company was higher as compared to peer entities managers provided more narratives about the strategy and R&D activities.
Źródło:
Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu; 2017, 474; 117-132
1899-3192
Pojawia się w:
Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Zależność czas-koszt w przewidywaniu czasu realizacji budowy
Time-Cost Relationship for Predicting Construction Duration
Autorzy:
Czarnigowska, A.
Sobotka, A.
Powiązania:
https://bibliotekanauki.pl/articles/391201.pdf
Data publikacji:
2013
Wydawca:
Politechnika Lubelska. Wydawnictwo Politechniki Lubelskiej
Tematy:
model Bromilowa
regresja wieloczynnikowa
CART
Bromilow’s model
multiple regression
Opis:
W artykule podjęto próbę stworzenia modelu czasu realizacji budowy w funkcji cech charakteryzujących przedsięwzięcie, w tym kosztu. Model oparto na analizie tych cech zrealizowanych przedsięwzięć, które są znane lub możliwe do założenia we wczesnych etapach planowania, lecz bez analizy technologii i organizacji robót. Model taki mógłby być przydatny inwestorom do szacowania czasu budowy na wczesnych etapach przygotowania inwestycji, szczególnie do analiz wykonalności. Model mógłby być również podstawą do porównań czasu lub tempa robót w zależności od cech przedsięwzięcia.
The paper aims at creating a model of road construction duration in the function of project qualities including the construction cost. The qualities considered are likely to be defined or possible to be estimated at early stages of project planning, giving no consideration to construction method or organisation of works. Potentially, the model might be applied by construction clients in their feasibility studies. It could also be used for comparing construction duration or construction rate with respect to project qualities.
Źródło:
Budownictwo i Architektura; 2013, 12, 1; 23-30
1899-0665
Pojawia się w:
Budownictwo i Architektura
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Assessment of the influence of selected factors on the punctuality of an urban transport fleet
Autorzy:
Grzelak, Małgorzata
Borucka, Anna
Świderski, Andrzej
Powiązania:
https://bibliotekanauki.pl/articles/1841152.pdf
Data publikacji:
2020
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
public transport
punctuality
multiple regression
transport publiczny
punktualność
regresja wieloraka
Opis:
Urban transport systems operate according to fixed, strict timetables, which requires high timeliness and technical readiness of the fleet. Therefore, this article proposes a detailed study of the punctuality of the public transport system using a multiple regression model for the main modes of transport (trams, buses, and Warsaw Metro). The analysis made it possible to go beyond the framework of the overall assessment and to identify the factors that have a significant effect on the punctuality index and to indicate the degree of this effect. The obtained results are a universal tool to assess the punctuality level of the urban transport fleet and to support decision making in the scope of organization of their work, which can be implemented in any similar transport system. The specification of the number of breakdowns, road accidents, or unauthorized stopping of a vehicle as the main causes of delays is the basis for taking corrective measures related to the improvement of the fleet operation system, or for preventive measures. The development of such models is practical in both public transport systems and similar companies providing transport services. For such institutions, the parameter of punctuality is extremely important and affects the quality of the services offered and the reputation of the company, which translates into the numer of customers and potential profit. Therefore, it is important to investigate the factors that shape the punctuality of the tasks performed. It allows for shaping the processes of fleet control and management. It is also worth emphasizing the scientific aspect of the publication, which is the presentation of the possibilities of applying selected mathematical models in such analyses, indication of the conditions of their application, and presentation of possible results together with their interpretation.
Źródło:
Transport Problems; 2020, 15, 4, cz. 2; 311-323
1896-0596
2300-861X
Pojawia się w:
Transport Problems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Seed Yield and Its Components in Three Festuca Species
Autorzy:
Żurek, Grzegorz
Prokopiuk, Kamil
Martyniak, Danuta
Rachwalska, Agnieszka
Paszkowski, Eugeniusz
Woźna – Pawlak, Urszula
Jurkowski, Maciej
Powiązania:
https://bibliotekanauki.pl/articles/2199687.pdf
Data publikacji:
2018-12-20
Wydawca:
Instytut Hodowli i Aklimatyzacji Roślin
Tematy:
meadow fescue,
leaf,
multiple regression analysis,
red fescue,
tall fescue
Opis:
An experiment has been performed in four locations in Poland (Radzików, Leszno, Szelejewo and Nieznanice).Fifteen genotypes from three species (tall fescue - Festuca arundinacea, meadow fescue - F. pratensisand red rescue - F. rubra) were measured and observed during two consecutive years. Despite of phenologicalobservations (heading and flowering start dates), biometrical measurements (plant height, leaf dimension,number of generative stems etc.) and physiological trait (chlorophyll contents index) seed yield of singlepanicle, seed yield of plant and seed yield per plot (i.e. 50 plants) were determined.Significant effects of years, locations and genotypes were calculated for mentioned species for almost alltested traits. Multiple linear regression analysis was used to estimate major predictors of seed yield. It resultedin different numbers of predictors for different species. For meadow fescue five, for red fescue – three and fortall fescue – only two statistically significant predictors were selected. For all species leaf width and numberof generative stems were statistically significant and had positive weights. For meadow and red fescue – alsoseed yield from single inflorescence was significant with positive weight. Our results demonstrate that leafwidth together with number of steams and single panicle yield are the most important determinants of plantseed yield in three Festuca species.
Źródło:
Plant Breeding and Seed Science; 2018, 77; 15-31
1429-3862
2083-599X
Pojawia się w:
Plant Breeding and Seed Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Impact of Public Debt on Economic Growth in Ukraine
Autorzy:
Kondrat, Iryna
Pozniakova, Olena
Chervinska, Oksana
Powiązania:
https://bibliotekanauki.pl/articles/957640.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
Tematy:
public debt
economic growth
debt-to-GDP ratio
multiple regression analysis
Opis:
Theoretical background: The growth in government borrowing, carried out in connection with the banks’ capitalisation, significantly increased the state budget expenditures aimed at servicing the capitalisation domestic public debt, which reinforces the general tendency regarding the exacerbation of the budget risk in the debt sphere in Ukraine. A weighty debt-creating factor was the budget deficit, which was covered by borrowing. Proceeding ahead of the rate of increase in debt volumes in comparison with gross domestic product (GDP) growth rates under the influence of internal and external destabilising factors contributed to the excess of the debt levels security indicators and increased the insolvency risk of the state. The increase of the obligations share denominated in foreign currency or linked to the exchange rate in the overall debt structure as an important indicator of the financial system’s vulnerability to exchange rate fluctuations creates additional threats to debt sustainability regarding the increasing currency risk and the national currency devaluation.Purpose of the article: The article is focused on studying the dynamics and structure of Ukraine’s public debt, its ratio to GDP, and an empirical analysis of the relationship between public debt (external and domestic) and economic growth in Ukraine.Research methods: To empirically test the relationship between public debt and economic growth in Ukraine over the 1992 to 2018 period, multiple regression models were conducted. A real GDP per capita was used as an indicator for economic growth and the debt-to-GDP ratio was used as an index of public debt. Research hypotheses were the following: H1: The public external debt-to-GDP ratio and GDP per capita have a strong negative and statistically relevant correlation; H2: The public domestic debt-to-GDP ratio and GDP per capita have a strong negative and statistically relevant correlation.Main findings: Examining the dynamics and structure of Ukraine’s public debt by borrowing market (external and domestic), it is concluded that there is no strong negative or positive statistically relevant correlation between the public debt-to-GDP ratio and GDP per capita for Ukraine. The impact of this factor is so insignificant that it encourages further research to verify that low GDP growth rate causes the increase in Ukraine’s public debt.
Źródło:
Annales Universitatis Mariae Curie-Skłodowska, sectio H – Oeconomia; 2019, 53, 4; 91-100
0459-9586
Pojawia się w:
Annales Universitatis Mariae Curie-Skłodowska, sectio H – Oeconomia
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multiple Linear Regression Using Cholesky Decomposition
Autorzy:
Sumiati, Ira
Handoyo, Fiyan
Purwani, Sri
Powiązania:
https://bibliotekanauki.pl/articles/1031897.pdf
Data publikacji:
2020
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Cholesky decomposition
Multiple linear regression
covariance matrix
Opis:
Various real-world problem areas, such as engineering, physics, chemistry, biology, economics, social, and other problems can be modeled with mathematics to be more easily studied and done calculations. One mathematical model that is very well known and is often used to solve various problem areas in the real world is multiple linear regression. One of the stages of working on multiple linear regression models is the preparation of normal equations which is a system of linear equations using the least-squares method. If more independent variables are used, the more linear equations are obtained. So that other mathematical tools that can be used to simplify and help to solve the system of linear equations are matrices. Based on the properties and operations of the matrix, the linear equation system produces a symmetric covariance matrix. If the covariance matrix is also positive definite, then the Cholesky decomposition method can be used to solve the system of linear equations obtained through the least-squares method in multiple linear regression. Based on the background of the problem outlined, such that this paper aims to construct a multiple linear regression model using Cholesky decomposition. Then, the application is used in the numerical simulation and real case.
Źródło:
World Scientific News; 2020, 140; 12-25
2392-2192
Pojawia się w:
World Scientific News
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Leadership and project success in development sector
Autorzy:
Ahmed, Saghir
Abdullahi, Abdullahi M.
Powiązania:
https://bibliotekanauki.pl/articles/522535.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
Development sector
Multiple linear regression
Project success
Opis:
Aim/purpose – The study aims to investigate the relationship among the leadership, operational efficiency and project success in general and the impact of transformational leadership and operational efficiency on project success in particular. Design/methodology/approach – Mean comparison from descriptive statistics and multiple linear regression from inferential statistics was used to determine the association between variables and further impact of the transformational leadership and operational efficiency on project success in the development sector. The paper presents the results of a survey conducted among 200 employees from the top, middle & lower management levels of various national & international development organizations working in Pakistan like Microfinance Banks and other Rural Support Programs. Statistical Package for Social Sciences (SPSS) was used to process data. Findings – The result shows positive association among transformational leadership, operational efficiency and project success. In addition, it was found that transformational leadership and operational efficiency have a positive and statistically significant impact on the project success. It is concluded that both transformational leadership and operational efficiency are vital to achieving the optimum level of success in any project, especially in the development sector. Research implications/limitations – The integral limitation of the study was the respondents because most of the development organizations have their operations in rural areas where access was difficult because of limited time and resources. In addition, such organizations are always reluctant to provide survey feedback. Originality/value/contribution – The paper contribution is in the theoretical and practical knowledge of the project success factors in the development sector which is still a somehow unexplored area. Regulators of the development sector may be benefited from this study.
Źródło:
Journal of Economics and Management; 2017, 30; 5-19
1732-1948
Pojawia się w:
Journal of Economics and Management
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Elementy uczenia maszynowego na zajęciach matematyki
Elements of machine learning in mathematics
Autorzy:
Bartłomiejczyk, Agnieszka
Ptach, Dawid
Wata, Marcin
Powiązania:
https://bibliotekanauki.pl/articles/1841929.pdf
Data publikacji:
2020
Wydawca:
Politechnika Gdańska. Wydział Elektrotechniki i Automatyki
Tematy:
uczenie maszynowe
regresja wieloraka
problem klasyfikacyjny
machine learning
multiple regression
classification problem
Opis:
W artykule omówiono związki między matematyką kursową a wybranymi zagadnieniami związanymi z uczeniem maszynowym. Pokazano w jaki sposób proste operacje na macierzach pomagają serwisom VOD w rekomendacji tytułów filmowych zgodnych z zainteresowaniami użytkowników na podstawie ich wcześniejszych wyborów. Zaprezentowano również uproszczoną wersję algorytmu regresji wielorakiej stosowaną do wyceny nieruchomości oraz wspomniano o zastosowaniu sieci neuronowych w problemach klasyfikacyjnych.
The article discusses the relationship between academic mathematics course and selected topics of machine learning. It shows how simple matrix operations help VOD services to recommend film titles consistent with the interests of users, based on their previous choices. A simplified version of the multiple regression algorithm used for real estate valuation is also presented and the use of neural networks in classification problems is mentioned.
Źródło:
Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej; 2020, 71; 27-30
1425-5766
2353-1290
Pojawia się w:
Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Does consumption expenditure induce the ecomonic growth? An empirical evidence from Sri Lanka
Autorzy:
Aslam, A. L. Mohamed
Powiązania:
https://bibliotekanauki.pl/articles/1178331.pdf
Data publikacji:
2017
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Gross domestic product
consumption expenditure
multiple regression test and Co-integration test
Opis:
Indeed, consumption expenditure is a very important element of increasing the economic growth, which was confirmed by enough empirical studies in different countries. But in Sri Lanka there is no evidence regarding the relationship between the consumption expenditure and economic growth. In order to test this relationship, this study used both multiple regression and Johansen and Juselius cointegration techniques by using time series data during the period of 1975 to 2014 of the following variables: exports, gross domestic product, consumption expenditure of households, and official development assistant. In this study, both techniques confirmed that the consumption expenditure positively impact on the economic growth and moves with the economic growth in the long - run period. Thus, this study strongly confirmed that the consumption expenditure in Sri Lanka induces the economic growth over the sample period. Therefore, this study recommends, if the policy makers should develop the policy to promote the consumption expenditure, the economic growth should be positively moved, so policy makers have to design consumption promotion policy.
Źródło:
World Scientific News; 2017, 81, 2; 221-234
2392-2192
Pojawia się w:
World Scientific News
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Dynamic modelling of an anaerobic reactor treating coffee wet wastewater via multiple regression model
Autorzy:
Guardia-Puebla, Yans
Llanes-Cedeño, Edilberto
Domínguez-León, Ana Velia
Arias-Cedeño, Quirino
Sánchez-Girón, Victor
Morscheck, Gert
Eichler-Löbermann, Bettina
Powiązania:
https://bibliotekanauki.pl/articles/1841946.pdf
Data publikacji:
2021
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
coffee wet wastewater
modelling
multiple regression model
upflow anaerobic sludge blanket
UASB
Opis:
A multiple regression model approach was developed to estimate buffering indices, as well as biogas and methane productions in an upflow anaerobic sludge blanket (UASB) reactor treating coffee wet wastewater. Five input variables measured (pH, alkalinity, outlet VFA concentration, and total and soluble COD removal) were selected to develop the best models to identify their importance on methanation. Optimal regression models were selected based on four statistical performance criteria, viz. Mallow’s Cp statistic (Cp), Akaike information criterion (AIC), Hannan–Quinn criterion (HQC), and Schwarz–Bayesian information criterion (SBIC). The performance of the models selected were assessed through several descriptive statistics such as measure of goodness-of-fit test (coefficient of multiple determination, R2; adjusted coefficient of multiple determination, Adj-R2; standard error of estimation, SEE; and Durbin–Watson statistic, DWS), and statistics on the prediction errors (mean squared error, MSE; mean absolute error, MAE; mean absolute percentage error, MAPE; mean error, ME and mean percentage error, MPE). The estimated model reveals that buffering indices are strongly influenced by three variables (volatile fatty acids (VFA) concentration, soluble COD removal, and alkalinity); while, pH, VFA concentration and total COD removal were the most significant independent variables in biogas and methane production. The developed equation models obtained in this study, could be a powerful tool to predict the functionability and stability for the UASB system.
Źródło:
Journal of Water and Land Development; 2021, 50; 229-239
1429-7426
2083-4535
Pojawia się w:
Journal of Water and Land Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Prediction of consumers’ satisfaction in the area of spa services with the application of the method of multiple regression
Predykcja satysfakcji klientów w obszarze usług uzdrowiskowych z wykorzystaniem metody regresji wielorakiej
Autorzy:
Mirek, Jolanta
Powiązania:
https://bibliotekanauki.pl/articles/584133.pdf
Data publikacji:
2019
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
consumers’ satisfaction
prediction of consumers
satisfaction
employee involvement
spa services
multiple regression
Opis:
The purpose of the research presented in the article was to attempt to measure the impact of the contentment with the involvement of particular groups of personnel in the performance of their duties on the potential satisfaction of the spa visitors. This paper includes the results of the exploratory research collected with the help of the questionnaire (distributed) among respondents, selected with the non-probability sampling method. The multiple regression analysis constituted the basic method implemented for the construction of the models explaining dependencies between variables. This article possesses research-application characteristics. In a sense it is innovative, mainly due to the implemented method of data analysis, since the author does not know any other works in which one would apply the multiple regression method for the evaluation of the satisfaction with spa healthcare services on the basis of the assessment of the personnel involvement in the performance of their duties.
Celem zaprezentowanych w artykule badań była próba zmierzenia wpływu zadowolenia z zaangażowania poszczególnych grup personelu w wykonywanie swoich obowiązków na potencjalną satysfakcję kuracjuszy. W opracowaniu wykorzystano wyniki eksploracyjnych badań zebranych za pomocą ankiety (rozdawanej) z respondentami dobranymi metodą doboru celowego. Podstawową metodą wykorzystaną do konstrukcji modeli wyjaśniających zależności pomiędzy zmiennymi była analiza regresji wielorakiej. Artykuł ma charakter badawczo-aplikacyjny. Jest on w pewnym sensie nowatorski, głównie ze względu na zastosowaną metodę analizy danych, gdyż nie są znane autorce inne prace, w których wykorzystano metodę regresji wielorakiej do oceny satysfakcji z usług uzdrowiskowych na podstawie oceny zaangażowania personelu w wykonywanie swoich obowiązków.
Źródło:
Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu; 2019, 63, 10; 187-206
1899-3192
Pojawia się w:
Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Prognozowanie produkcji budowlano montażowej w województwie dolnośląskim. Część I
Prediction of construction and assembly production in the province of Lower Silesia. Part I.
Autorzy:
Rogalska, M.
Powiązania:
https://bibliotekanauki.pl/articles/391226.pdf
Data publikacji:
2012
Wydawca:
Politechnika Lubelska. Wydawnictwo Politechniki Lubelskiej
Tematy:
prognozowanie
regresja wieloraka
SARIMA
wynagrodzenia pracowników
prediction
multiple regression
salaries of employees
Opis:
Artykuł jest częścią pierwszą cyklu „Prognozowanie produkcji budowlano montażowej w województwie dolnośląskim”. Założono, że wynagrodzenie pracowników będzie jedną ze zmiennych niezależnych do wyznaczenia wielkości produkcji. Prognozowano wynagrodzenia pracowników w sektorze budowlanym metodami regresji wielorakiej i metodą autoregresji średniej ruchomej SARIMA. Przeprowadzono analizę wyników obliczając błędy ME, MAE, MPE, MAPE oraz współczynniki Theila I, I2, I12, I22, I32. Sformułowano wnioski z obliczeń. Wyznaczono równanie regresji wielorakiej z 12 predyktorami wytypowanymi spośród 53 zmiennych niezależnych. Uzyskano dane prognozowane do predykcji produkcji budowlano montażowej.
The article is the first part of the series „Prediction construction and assembly production in Lower Silesia.” It was assumed that salary of employees will be one of the independent variables to determine the volume of production. Salaries of employees was predicted, using multiple regression and autoregressive moving average SARIMA methods. An analysis of the results was carried out. The errors ME, MAE, MPE, MAPE and Theil coefficients I, I2, I12, I22, I32 were calculated. Multiple regression equation with 12 predictors was set. Predictors were selected from among the 53 independent variables. Forecasted data were obtained for construction and assembly production prediction.
Źródło:
Budownictwo i Architektura; 2012, 11, 2; 121-137
1899-0665
Pojawia się w:
Budownictwo i Architektura
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Correlations and Heritability of the Characters Determining the Seed Yield of the Panicle Inflorescence Forms of Alfalfa (Medicago X Varia T. Martyn)
Autorzy:
Bodzon, Zbigniew
Powiązania:
https://bibliotekanauki.pl/articles/2199666.pdf
Data publikacji:
2016-12-20
Wydawca:
Instytut Hodowli i Aklimatyzacji Roślin
Tematy:
alfalfa
expected genetic progress
heritability
interdependence
multiple regression
panicle inflorescence
seed yield
Opis:
Phenotypic correlation coefficients and heritability of the characters determining seed yield of panicle inflorescence forms of alfalfa was examined. Seed yield per plant, which was positively correlated with 10 generative and morphological traits, depended upon the number of pods per panicle and the number of seeds per pod. Variability of these characters determined about 60% of the variability of seed yield. Multiple linear regression and phenotypic correlations show that simultaneous selection for increased pod number per panicle and increased seed number per pod and number of branches per panicle resulted in enhanced seed yield potential. The share of the additive genetic effects in the phenotypic variance for number of pods per panicle was low and about 23%, while for number of seeds per pod and seeds per panicle amounted to about 75-77% and 56-57% respectively.
Źródło:
Plant Breeding and Seed Science; 2016, 74; 19-26
1429-3862
2083-599X
Pojawia się w:
Plant Breeding and Seed Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Impact of Public Expenses for Innovativeness and Entrepreneurship on Local Development in the Eastern Poland
Wpływ wydatków związanych z innowacyjnością i przedsiębiorczością na rozwój lokalny regionów przygranicznych Polski Wschodniej
Autorzy:
Romanowski, Robert
Ciechomski, Wiesław
Powiązania:
https://bibliotekanauki.pl/articles/526053.pdf
Data publikacji:
2016-12-01
Wydawca:
Uniwersytet Warszawski. Wydawnictwo Naukowe Wydziału Zarządzania
Tematy:
cohesion policy
local development
multiple regression
polityka spójności
rozwój lokalny
regresja wieloraka
Opis:
The aim of the paper is to prove the positive impact on local development by the Lisbon Strategy expressed with the public expenditures on innovation, environmental protection and labor market support in cross-border regions of the Eastern Poland. This chapter presents the basic statistics describing the priority themes and intervention categories of cohesion policy in the European Union. The study was hypothesized in line with the Lisbon Strategy, with presumption of the positive impact of expenditures for innovation, the environment and the labor market support on local development. Basic hypothesis would be accepted when at least one of proposed independent variables would be positively influencing the dependent variable. Extended hypothesis needs all independent variables to be positively influencing the dependent one. The method, used to prove the impact and to verify the hypothesis was multiple regression model with backward elimination, in which the explanatory variables were public expenditures spent within 8/11 priority themes and 71 out of 74 intervention categories of cohesion policy in 87 counties belonging to cross-border regions of the Eastern Poland (Lublin, Podlaskie, Subcarpathian and Warmian-Masurian voivodeships). Economic aggregate was chosen as a dependent variable in the model, based on average salaries in the county, treated as a measure of local development. As a result of the econometric modeling the hypothesis was confirmed in the basic variant and rejected in the extended one. The expenditures on innovation activities, being statistically significant, positively influenced the local development (with liberalized conditions of statistical significance also expenditures on entreprenurship). However, the lack of statistical significance for expenditures on environment and negative impact of expenses for the integration in the labor market on local development makes it impossible to confirm the hypothesis in extended variant.
Celem autorów jest wykazanie pozytywnego wpływu strategii lizbońskiej wyrażonego wpływem wydatków na działalność innowacyjną, ochronę środowiska oraz wsparcie rynku pracy na rozwój lokalny w regionach przygranicznych Polski Wschodniej. W opracowaniu postawiono hipotezę, zgodną z założeniami strategii lizbońskiej, o pozytywnym wpływie wydatków na działalność innowacyjną, ochronę środowiska i rynek pracy na rozwój lokalny. W wariancie podstawowym przynajmniej jedna ze zmiennych niezależnych powinna pozytywnie wpływać na zmienną zależną, w wariancie rozszerzonym taki warunek muszą spełniać wszystkie zmienne niezależne. Metodą wykorzystaną w opracowaniu był model regresji wielorakiej krokowej wstecznej, w którym jako zmienne objaśniające przyjęto wydatki publiczne zagregowane w 8/11 tematów priorytetowych i w 71 z 74 kategorii interwencji polityki spójności w 87 powiatach regionów przygranicznych Polski Wschodniej (województwa warmińsko-mazurskie, podlaskie, lubelskie i podkarpackie). Z kolei jako zmienną objaśnianą przyjęto tzw. ekonomiczny agregat, oparty na średnim wynagrodzeniu występującym w danym powiecie, będący miarą rozwoju lokalnego. W postępowaniu badawczym udowodniono, że na rozwój lokalny istotny statystycznie pozytywny wpływ mają wydatki na działalność innowacyjną, a przy zliberalizowaniu warunków istotności statystycznej – także wydatki na przedsiębiorczość. Jednak brak istotności statystycznej wydatków na ochronę środowiska oraz negatywny wpływ na rozwój lokalny wydatków na integrację na rynku pracy uniemożliwia potwierdzenie hipotezy w wariancie rozszerzonym.
Źródło:
Problemy Zarządzania; 2016, 3/2016 (62), t.2; 225-249
1644-9584
Pojawia się w:
Problemy Zarządzania
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Machine learning methods applied to sea level predictions in the upper part of a tidal estuary
Autorzy:
Guillou, N.
Chapalain, G.
Powiązania:
https://bibliotekanauki.pl/articles/2078822.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Instytut Oceanologii PAN
Tematy:
multiple regression model
artificial neural network
multilayer perceptron
regression function
machine learning algorithm
sea level
Opis:
Sea levels variations in the upper part of estuary are traditionally approached by relying on refined numerical simulations with high computational cost. As an alternative efficient and rapid solution, we assessed here the performances of two types of machine learning algorithms: (i) multiple regression methods based on linear and polynomial regression functions, and (ii) an artificial neural network, the multilayer perceptron. These algorithms were applied to three-year observations of sea levels maxima during high tides in the city of Landerneau, in the upper part of the Elorn estuary (western Brittany, France). Four input variables were considered in relation to tidal and coastal surge effects on sea level: the French tidal coefficient, the atmospheric pressure, the wind velocity and the river discharge. Whereas a part of these input variables derived from large-scale models with coarse spatial resolutions, the different algorithms showed good performances in this local environment, thus being able to capture sea level temporal variations at semi-diurnal and spring-neap time scales. Predictions improved furthermore the assessment of inundation events based so far on the exploitation of observations or numerical simulations in the downstream part of the estuary. Results obtained exhibited finally the weak influences of wind and river discharges on inundation events.
Źródło:
Oceanologia; 2021, 63, 4; 531-544
0078-3234
Pojawia się w:
Oceanologia
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of multiple linear regression (MLR) analysis for concentration of chromite tailings by the flotation
Autorzy:
Deniz, Vedat
Powiązania:
https://bibliotekanauki.pl/articles/1449296.pdf
Data publikacji:
2020
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
chromite
tailing
flotation
separation
multiple linear regression analysis
Opis:
In this study, the concentration of chromite minerals by amine flotation of a chromite tailing (slime) with content 23.84% Cr2O3 from Yeşilova-Burdur (Turkey) was investigated. In experimental studies, firstly, some operating parameters of the rougher flotation observed for a low-grade chromite tailing were investigated. Secondly, multiple linear regression (MLR) analyses were performed to determine the effects of some operating parameters on the performance of the rougher amine flotation. From the experimental results, multiple linear regression equations were developed to predict the recovery and grade of the chromite concentrate, and the regression coefficients between experimental and predicted values were found to be quite good (R2 values of 0.772 and 0.917, respectively). Additionally, it was found that the conditioning time and low pH value using $H_2SO_4$ showed an important effect on the recovery and the grade of the chromite concentrate.
Źródło:
Physicochemical Problems of Mineral Processing; 2020, 56, 4; 579-589
1643-1049
2084-4735
Pojawia się w:
Physicochemical Problems of Mineral Processing
Dostawca treści:
Biblioteka Nauki
Artykuł
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