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Tytuł:
APPLICATION OF SELECTED STATISTICAL METHODS TO ICT USED IN PUBLIC PROCUREMENT SYSTEM IN POLAND
Autorzy:
Starzyńska, Wacława
Wiktorowicz, Justyna
Powiązania:
https://bibliotekanauki.pl/articles/452941.pdf
Data publikacji:
2009
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki
Tematy:
public procurement
logistic regression
Opis:
The paper discusses the application of multivariate analysis tools to the development of e-procurement and to the determinants of the process using data derived from a survey of the awarding entities. In particular, statistical methods were used to measure, classify and model the development of computerized public procurement.
Źródło:
Metody Ilościowe w Badaniach Ekonomicznych; 2009, 10, 1; 221-231
2082-792X
Pojawia się w:
Metody Ilościowe w Badaniach Ekonomicznych
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Determinants of the state of poverty using logistic regression
Autorzy:
Sączewska-Piotrowska, Anna
Powiązania:
https://bibliotekanauki.pl/articles/434092.pdf
Data publikacji:
2018
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
state of poverty
ordinal logistic regression
multinomial logistic regression
poverty threshold
household's income
Opis:
The aim of the paper was to identify the determinants of the state of poverty using logistic regression. The analysis focused on economic poverty considered through the prism of income. Three states of poverty were considered: poverty, near poverty (household’s income from 100% to 125% of the adopted poverty threshold) and above near poverty (income higher than 125% of poverty threshold), using the ordinal logit model and – after the rejection of the proportional odds assumption – the multinomial logit model. The analysis was preceded by a presentation of the basic facts concerning three states of poverty. Based on the conducted analysis it can be stated that the education of the household's head, place of residence, labourforce status and socio-economic group were very important factors of the state of poverty, and they change the odds of being in above near poverty relative to poverty and the odds of being in near poverty relative to poverty.
Źródło:
Śląski Przegląd Statystyczny; 2018, 16 (22); 55-68
1644-6739
Pojawia się w:
Śląski Przegląd Statystyczny
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The employment of Łódź University tourism and recreation graduates: A sociological analysis
Autorzy:
Żulicki, Remigiusz
Powiązania:
https://bibliotekanauki.pl/articles/627648.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
graduate
employment
university
logistic regression
Opis:
This article is focused on selected aspects of the economic ‘fate’ of Tourism and Recreation graduates of the University of Łódź (UŁ). Its aim is to seek answers to the question: ‘What determines graduate employment?’ Surveys conducted by the Career Office of University of Łódź among graduates one year after graduation in 2014, 2015 and 2016 are the empirical basis. Tourism and Recreation graduates were compared with others from the Faculty of Geographical Sciences UŁ. The logistic regression technique was used to predict the status of graduate employment based on independent variables. The strongest predictors of graduate employment were structural and institutional characteristics. The quantitative results were interpreted in the context of the modern role of universities.
Źródło:
Turyzm; 2017, 27, 1; 65-74
0867-5856
2080-6922
Pojawia się w:
Turyzm
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Factors affecting the level of commercialization among households owning cattle. A case study of Makhado Municipality of Vhembe District, Limpopo Province, South Africa
Autorzy:
Minyuku, Xitshembiso Appointment
Belete, Abenet
Baloi, Vutomi Arone
Powiązania:
https://bibliotekanauki.pl/articles/2033354.pdf
Data publikacji:
2022-04-04
Wydawca:
Uniwersytet Przyrodniczy w Poznaniu. Wydawnictwo Uczelniane
Tematy:
commercialization
households
Multinomial Logistic Regression
Opis:
This study analyzed the factors affecting the level of commercialization among households owning cattle. The study was conducted at the Makhado Local Municipality of Vhembe District, Limpopo Province, South Africa. The study sampled 150 households owning cattle from five villages within the municipality. Data were collected through a structured questionnaire that was administered face-to-face to the respondents. For empirical reasons, the study used two analytical techniques, namely; Household Comecialisation Index and Multinomial Logistic Regression Model. Empirical results reveal that eight variables were significant in affecting the level of commercialization among households owning cattle. These variables are the marital status of household head, the age of the household head, source of income, the occupation of household, access to market information, distance to the nearest market, membership to farmer organization, and land size. Based on the findings of the study, several policy recommendations were proposed, namely; Encouragement of youth participation in agriculture in general and in cattle production in particular, promotion of gender equality in decision-making, households’ farmer organization, encouragement of market-orientation in cattle production, and establishment of cattle input support programs (e.g., feed, water and disease control).
Źródło:
Journal of Agribusiness and Rural Development; 2022, 63, 1; 41-50
1899-5241
Pojawia się w:
Journal of Agribusiness and Rural Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Statistical models in enterprises default risk assessment – an example of application
Modele statystyczne w ocenie ryzyka niewypłacalności przedsiębiorstw – przykład zastosowań
Autorzy:
Ptak-Chmielewska, Aneta
Kuleta, Piotr
Powiązania:
https://bibliotekanauki.pl/articles/425008.pdf
Data publikacji:
2018
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
default risk
logistic regression
Cox model
Opis:
Default risk assessment is crucial in the banking activity. Different models were developed in the literature using the discriminant analysis, logistic regression and data mining techniques. In this paper the logistic regression was applied to verify models proposed by R. Jagiełło for different sectors. As an alternative, the logistic regression model with the nominal variable SECTOR was applied on the pooled sample of enterprises. The dynamic approach using the Cox regression survival model was estimated. Including the nominal variable SECTOR only slightly increases the predictive power of the model (in the case of “defaults”). The predictive power of the Cox regression model is lower, the only advantage is the higher accuracy classification in the case of “defaulted” enterprises.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2018, 22, 1; 94-106
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of Logistic Regression for Firms Survival Analysis
Zastosowanie regresji logistycznej do analizy szansy przetrwania firm
Autorzy:
Markowicz, Iwona
Solorz, Beata
Powiązania:
https://bibliotekanauki.pl/articles/906309.pdf
Data publikacji:
2009
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
logistic regression
odds ratio
encoding, firms
Opis:
Lata 90-te XX w. w Polsce to okres rozwoju przedsiębiorczości. Swoboda zakładania i prowadzenia działalności gospodarczej przyczyniła się do powstawania nowych, głównie małych, firm. Nie wszystkim przedsiębiorcom udaje się jednak utrzymać działalność w dłuższym czasie. Celem artykułu jest analiza szansy przetrwania firmy przez określony czas oraz różnic dla firm założonych w różnych latach. Zastosowano model regresji logistycznej dla dychotomicznej zmiennej zależnej. W artykule przedstawiono wyniki etapu badań prowadzonych w ramach projektu badawczego MNiSW N 111 011 31/1109.
The 90's of the 20th century in Poland it's a period of economic development. Freedom o f establishing and carrying on a business caused rising many new, mostly small firms. Yet not all entrepreneurs were able to run their businesses for a longer period of time. The purpose of the paper is to analysis firms survival chance in a determined period o f time and to analysis differences between firms established in different years. Logistic regression model for dichotomous dependent variable will be used.
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2009, 228
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multidimensional poverty among rural households in ogun state, Nigeria
Autorzy:
Aboaba, Kazeem
Oyekale, Tolulope
Adewuyi, Samuel
Dada, D. A.
Powiązania:
https://bibliotekanauki.pl/articles/1911933.pdf
Data publikacji:
2019-12-28
Wydawca:
Uniwersytet Przyrodniczy w Poznaniu. Wydawnictwo Uczelniane
Tematy:
poverty
Multidimensional Poverty Index
logistic regression
Opis:
This study was carried out to estimate factors influencing the multidimensional poverty status of rural households in Ogun State, Nigeria. A multistage sampling technique was used to select 240 rural households. Data was obtained through the use of a structured interview schedule, and was analyzed with descriptive techniques, multidimensional poverty index and logistic regression models. The result revealed that 69% of the rural households are multidimensionally poor. It was found that (on average) the rural poor households were deprived in 41% of the weighted indicators. Another finding is that rural households were deprived in 28% of total deprivations they could experience. It was also revealed that deprivation in infrastructure contributed most to the total deprivation experienced, followed by deprivation in living standard, social capital, health and education. The study further found that household size (p < 0.05), gender (p < 0.01), off-farm income (p < 0.1), availability of community health extension workers (p < 0.05) and availability of public market (p < 0.1) significantly influence the poverty status of rural households. The study concluded that an increase in household size increases the likelihood of being multidimensionally poor while an increase in off-farm income, access to public market and health extension services reduce the likelihood of being poor. The study recommended that rural farmers diversify their livelihood sources into off-farm activities during their lean periods as this will be instrumental in reducing their poverty status. Also, infrastructural facilities such as good healthcare services and public markets should be put in place as this will go a long way in reducing the poverty status of the rural farmers.
Źródło:
Journal of Agribusiness and Rural Development; 2019, 54, 4; 335-344
1899-5241
Pojawia się w:
Journal of Agribusiness and Rural Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
THE ANALYSIS OF CHANCES OF YOUNG AND MIDDLE-AGED PEOPLE FOR HAVING A JOB USING BAYESIAN LOGISTIC REGRESSION MODEL
Autorzy:
Grzenda, Wioletta
Powiązania:
https://bibliotekanauki.pl/articles/453708.pdf
Data publikacji:
2017
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki
Tematy:
employment
logistic regression
Bayesian inference
MCMC
Opis:
The aim of this article is to analyze the chances of having a job using Bayesian logistic regression model. In this study both young and middle-aged people have been considered. The individual characteristics of economically active people have a significant impact on their labour market status. In this research the commonly studied set of features has been extended by adding the following characteristics: marital status, financial situation of the household, health assessment and the fact of living with parents in the case of young people. In this study, Bayesian logistic regression model has been used. The Bayesian approach enabled us to incorporate information from previous studies.
Źródło:
Metody Ilościowe w Badaniach Ekonomicznych; 2017, 18, 1; 27-37
2082-792X
Pojawia się w:
Metody Ilościowe w Badaniach Ekonomicznych
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Macroeconomic factors in modelling the SMEs bankruptcy risk. The case of the Polish market
Autorzy:
Ptak-Chmielewska, Aneta
Matuszyk, Anna
Powiązania:
https://bibliotekanauki.pl/articles/425179.pdf
Data publikacji:
2019
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
bankruptcy risk model
logistic regression
macro variables
Opis:
The last financial crisis affected the SMEs sector in different countries at different levels and strength. SMEs represent the backbone of the economy of every country. Therefore, they need bankruptcy prediction models easily adaptable to their characteristics. In our analysis we verified hypothesis: including information about macroeconomic conditions significantly increases the effectiveness of the bankruptcy model. The data set used in our research contained information about 1,138 SMEs. All information was taken from the financial statements covering the period 2002-2010. The sample included enterprises from sectors: industry, trade and services. Selected financial ratios were used to build the model and the macroeconomic variables were added: GDP, inflation, and the unemployment rate. Logistic regression as the research method was applied. In our study we showed that the incorporation of the macro variables improved the prediction of the SMEs bankruptcy risk.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2019, 23, 3; 40-49
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Is it Possible to Estimate Match Result in Volleyball: A new Prediction Model
Autorzy:
Akarçeşme, Cengiz
Powiązania:
https://bibliotekanauki.pl/articles/1055219.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Szczeciński. Wydawnictwo Naukowe Uniwersytetu Szczecińskiego
Tematy:
efficacy model
gender
logistic regression
result
volleyball
Opis:
This study investigates the power of variables in a logistic regression model (the efficacy model or (EM)) to explain the match results in the Turkish Men’s Volleyball League (TMVL) and the Turkish Women’s Volleyball League (TWVL) in terms of the players’ positions. The dependent variable was the match result, and the power of the variables libero player efficiency (LPE), setter efficiency (SE), middle blocker efficiency (MBE), outside hitter efficiency (OHE) and universal player efficiency (UPE) were separately investigated for both genders. The EM accurately classified 83.45% of the games won and lost in the TWVL. The sensitivity (proportion of won games classified as won) and specificity (proportion of lost games classified as lost) was 85.03 and 81.88%, respectively. In the TMVL analysis, the classification accuracy, sensitivity and specificity were 78.23, 78.77 and 77.70%, respectively. Moreover, for both genders, the match results were chiefly explained by the SE, MBE, OHE and UPE. The LPE variable could not predict the results in the TWVL.
Źródło:
Central European Journal of Sport Sciences and Medicine; 2017, 19, 3; 5-17
2300-9705
2353-2807
Pojawia się w:
Central European Journal of Sport Sciences and Medicine
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The impact of the number of visits and the level of satisfaction on the intention to recommend a tourist destination. The example of Gdańsk
Autorzy:
Wiskulski, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/1199473.pdf
Data publikacji:
2021-03-31
Wydawca:
Uniwersytet Gdański. Instytut Geografii
Tematy:
Gdańsk
satisfaction
tourism
cluster analysis
logistic regression
Opis:
The article focuses on examining the intention to recommend Gdańsk as a tourist destination to family and friends. The study was based on the results of a survey (Bęben et al., 2018) conducted among 2,508 respondents visiting Gdańsk in 2017. The method of cluster analysis was applied, thanks to which it was possible to divide the respondents into three clusters. Then, logistic regression was used to analyze the variables influencing the intention to recommend a destination. The study shows that for the entire sample the level of satisfaction from a visit to Gdańsk remains the factor supporting the decision to recommend a destination. Importantly, the total number of visits to Gdańsk is negatively correlated with the intention to recommend the destination, which proves only partial loyalty.
Źródło:
Journal of Geography, Politics and Society; 2021, 11, 1; 37-43
2084-0497
2451-2249
Pojawia się w:
Journal of Geography, Politics and Society
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Some Practical Problems of Multivariate Survival Analysis of Epidemiological Studies
Niektore praktyczne problemy wielozmiennej analizy przeżyć w badaniach epidemiologicznych
Autorzy:
Jasiński, Bogdan
Kawalec, Ewa
Kupść, Witold
Powiązania:
https://bibliotekanauki.pl/articles/906538.pdf
Data publikacji:
2002
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
epidemiological study
risk factors
proportional hazards regression
logistic regression
Opis:
In the epidemiological analysis of chronic diseases (most often cardiovascular or cancer) the main problem of interest is the estimation of the risk of death (or getting ill) related to set of characteristics called risk factors. For epidemiological studies typical features are: - large sample size (at least 1000 persons), - long follow up period for survival analysis (5 or more years), - large percentage of censored observations (patients who survive the whole time of study, more than 90%), - large number of registered risk factors. Some practical problems that concern the statistical analysis of the epidemiological data are following: - selection of the survival function model, - selection of the variables included into the model, - inclusion of interaction and/or higher order effect into the model. Some solutions of presented problems were applied to the Polish Part of Cardiovascular Diseases Prevention Program (Euro 8202). The program was conducted in 1976-1982 years with long follow up period concerning mortality till 1994 year. The program covered 8603 working men aged 40-59 years in two regions - Warsaw and South-Eastern Poland. Most of statistical analyses were performed on the basis of standard Statistical Analysis System (SAS) package.
Jednym z głównych celów epidemiologicznych badań nad chorobami przewlekłymi (najczęściej układu krążenia lub nowotworowymi) jest oszacowanie ryzyka zachorowania lub zgonu w zależności od zespołu cech - czynników ryzyka. Badania epidemiologiczne charakteryzują się najczęściej następującymi własnościami: - duża liczebność próby, powyżej 1000 badanych; długi okres obserwacji badanych osób, ponad kilka lat; - wysoka frakcja (ok. 90%) osób, które przeżyły cały okres badania bez incydentu chorobowego, tzw. cenzorowanie administracyjne; - duża liczba czynników ryzyka rejestrowanych w badaniu. Analiza statystyczna badania epidemiologicznego wymaga, między innymi, rozwiązania następujących problemów: - wybór modelu funkcji oceniającej ryzyko, - selekcja badanych w modelu czynników ryzyka, - ocena wzajemnego oddziaływania (interakcji) badanych czynników i ocena nieliniowych efektów ich oddziaływania. Rozwiązanie przedstawionych zadań przeprowadzono na przykładzie analizy wyników Polskiego Programu Prewencji Chorób Układu Krążenia przeprowadzonego w latach 1976-1982, obejmującego 8603 mężczyzn zatrudnionych w zakładach pracy w dwóch regionach Polski -Warszawy i Polski Południowo-Wschodniej i rozszerzonego o obserwację postępującą w zakresie zgonu do roku 1994.
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2002, 162
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Intention to continue professional work after reaching retirement age and its determinants
Zamiary kontynuacji pracy zawodowej po osiągnięciu wieku emerytalnego i ich determinanty
Autorzy:
Olejnik, Iwona
Powiązania:
https://bibliotekanauki.pl/articles/425128.pdf
Data publikacji:
2017
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
retirement age
consumer behaviour
linear and logistic regression
Opis:
In recent years, discussions concerning retirement age have focused mainly on its extension. The rise of interest in this issue is caused by demographic changes and the resulting problems faced by the system of retirement provision. Apart from increasing retirement pension premiums or decreasing the replacement rate, regular extending the retirement age is one of the ways of balancing the difference between the proceeds from premiums and the obligation to pay pensions. In view of the above, the aim of this article is to specify the factors influencing the intention to continue professional work after reaching retirement age (these intentions are measured by means of expectations towards the amount of money acquired for work continued in retirement). These determinants were identified by comparing the results obtained by means of two methods: linear regression and logistic regression. The article includes the results of representative survey studies carried out in 2014 in Poland on a randomised sample of 1163 households. The results of the study suggest that the determinants of the continuation of professional work after reaching retirement age include, in particular: age, education, occupation, household status, state of health, the perceived “proper age” to start saving up additionally for retirement and relations with children. The article was written within the research project by National Science Centre “Saving Practices and Financial Pension Security in Households – Determinants, Attitudes, Models” (No. UMO- 2012/05/B/HS4/04183).
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2017, 2 (56); 28-41
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Assessment of diagnostic features in the coronary artery disease (CAD) by application of statistical methods and neural networks
Autorzy:
Stanisz-Wallis, K.
Izworski, A.
Dembinska-Kiec, A.
Tadeusiewicz, R.
Lech, T.
Powiązania:
https://bibliotekanauki.pl/articles/1965783.pdf
Data publikacji:
2004
Wydawca:
Politechnika Gdańska
Tematy:
coronary artery disease
logistic regression method
neural networks
Opis:
The present work is aimed at comparing the effectiveness of two different methods of risk factor assessment used for prediction of the CAD (coronary artery disease): the logistic regression method and the application of artificial neural networks. The former is widely used in medical research, while the latter is relatively rare. In the logistic regression method hierarchical analysis was employed to select the significant variables of the classification process. In the neural network approach several strategies were proposed for selection of the discriminative variables, all based on weight analysis in the constructed networks. Both methods have produced a consistent set of discriminative variables (Glu0, Ins0, Ins30, BMI, apoA1 and HDL-Ch), belonging to three groups of risk factors associated with insulin resistance, obesity and lipid disorders.
Źródło:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2004, 8, 2; 287-295
1428-6394
Pojawia się w:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Segregation of waste at source reduces the environmental hazards of municipal solid waste in Patna, India
Autorzy:
Singh, A.
Raj, P.
Powiązania:
https://bibliotekanauki.pl/articles/204624.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
municipal solid waste
Patna
environmental pollution
logistic regression
Opis:
Though Municipal Solid Waste (MSW) is a worldwide problem, the collected wastes are dumped in open dumping at landfilling sites while the uncollected wastes remain strewn on the roadside, many-a-time clogging drainage. Such unsafe and inadequate management of MSW causes spread of bacteria, viruses, particulate matter, dioxins and other harmful pollutants in the surroundings and atmosphere. Hence, due to the repeated exposure of population to these pollutants can lead to serious health problems such as Diarrhea/Dysentery, Acute Respiratory Infection (ARI), and Asthma/Chronic Respiratory Diseases (CRD). Therefore, two-phase study included secondary data on diseases caused due to environmental pollution and primary data on MSW and lack of MSW management from 127 households in urban Patna, India. The random sampling method was used for collection of primary survey data, conducted during 2015–16 in selected areas of Patna. Logistic regression model odds ratios and their 95% confidence intervals were used to show the strength of the associations among segregation of wastes at source, segregation behavior, collection bins in the area, distance of collection bins from a residential area, and transportation of MSW. The ROC is a statistical technique to validate the logistic regression method that predicts the occurrence of an event through the comparison of probability picture of an event occurrence observed by probability and the predicted probability of the same event. The area under the ROC curve is up to 0.889 extent, which reveals that the ‘segregation of waste at source’ has a very strong scope to accomplish sustainable recycling at urban Patna in order to manage waste with the overall accuracy of 92.126%, which proves a better fi t logistic regression model. Hence, this paper concludes that ‘segregation of waste at source’ helps to attain sustainable recycling which would be the most viable approach to manage MSW in Patna and would eventually reduce environmental pollutants for the public health safety.
Źródło:
Archives of Environmental Protection; 2018, 44, 4; 96-110
2083-4772
2083-4810
Pojawia się w:
Archives of Environmental Protection
Dostawca treści:
Biblioteka Nauki
Artykuł
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