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Wyszukujesz frazę "data quality analysis" wg kryterium: Temat


Tytuł:
Data mining system for air quality monitoring networks
Autorzy:
Czechowski, P.
Badyda, A.
Majewski, G.
Powiązania:
https://bibliotekanauki.pl/articles/204820.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
air pollutants
data quality analysis
data mining
estimation
exploratory methods
harmonic
principal component analysis
statistical tests outliers
influential
leverage observations
analytical software system
programming
Eco Data Miner
EDM
Winsorized mean
Cook
Mahalanobis distance
DFITS
COVRATIO
Opis:
The use of quantitative methods, including stochastic and exploratory techniques in environmental studies does not seem to be sufficient in practical aspects. There is no comprehensive analytical system dedicated to this issue, as well as research regarding this subject. The aim of this study is to present the Eco Data Miner system, its idea, construction and implementation possibility to the existing environmental information systems. The methodological emphasis was placed on the one-dimensional data quality assessment issue in terms of using the proposed QAAH1 method - using harmonic model and robust estimators beside the classical tests of outlier values with their iterative expansions. The results received demonstrate both the complementarity of proposed classical methods solution as well as the fact that they allow for extending the range of applications significantly. The practical usefulness is also highly significant due to the high effectiveness and numerical efficiency as well as simplicity of using this new tool.
Źródło:
Archives of Environmental Protection; 2013, 39, 4; 123-147
2083-4772
2083-4810
Pojawia się w:
Archives of Environmental Protection
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of ARIMA Models for the Analysis of Utilization Process of Military Technical Objects
Autorzy:
Borucka, Anna
Powiązania:
https://bibliotekanauki.pl/articles/503736.pdf
Data publikacji:
2018
Wydawca:
Międzynarodowa Wyższa Szkoła Logistyki i Transportu
Tematy:
aircraft
forecasting
ARIMA models
military data analysis
data quality issue
Opis:
The newest solutions in Polish Armed Forces are implemented gradually and focus mainly on soldiers’ combat readiness. Many concurrent processes occur, for which proper analysis and interpretation could constitute command process and task realization support; however poor and standing (paper) record seems to be an obstacle in their modelling. Therefore the author of the article tried to depict the process of military technical objects exploitation based on archived data according to present methods of documents preparation, circuit and record, applicable in Polish Armed Forces. Based on that, the method of research the readiness of aircraft ships from military air base, powered by ARIMA model, was proposed. Using empirical data of two years of exploitation, the identification of researched time series, and then a few models estimation was made. Finally, the best model was chosen and verified.
Źródło:
Logistics and Transport; 2018, 37, 1; 13-22
1734-2015
Pojawia się w:
Logistics and Transport
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Data mining model for quality control of primary aluminum production process
Autorzy:
Horvath, M.
Vircikova, E.
Powiązania:
https://bibliotekanauki.pl/articles/406754.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
quality control analysis
data mining
multivariate autocorrelated process
quality improvement
Opis:
Traditional statistical process control approaches are less effective in dealing with multivariate and autocorrelated processes. With the continual increase in process complexity, this inefficiency is becoming more apparent. A special type of multivariate and autocorrelated process is a process occurring within a heterogeneous production environment (a variety of types of machines, pots, etc. used for the same task). This makes the quality control of such processes more difficult. The approach presented in the paper utilizes time series fitting, cluster analysis and association mining in relation to a single data mining model for the analysis of complex multivariate autocorrelated processes. The aim is to divide the production cells (machines, pots, etc.) into groups exhibiting similar behaviors. This can then be used for more effective quality control of the entire process and afterwards to analyze the reasons for this behavior. This paper includes someof the results obtained from applying the model to an actual multivariate high autocorrelated process, the production of primary aluminum using the Hall-Heroult electrolysis process. The Hall-Heroult electrolysis process is a continual process that is ongoing in several pots simultaneously. The average plant operates 300 pots. Therefore, the quality control of such a complex process faces many issues concerning monitoring and problem diagnosis. The paper describes a method for dividing the pots into control groups exhibiting similar behaviors, which can then be used in the planning phase of the quality control analysis and to make improvements within these groups and thereby within the whole process.
Źródło:
Management and Production Engineering Review; 2012, 3, 4; 47-53
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Zastosowanie funkcji przynależności w analizie subiektywnego postrzegania jakości życia
Application of membership function in the analysis of subjective perception of quality of life
Autorzy:
Dudek, Hanna
Szczesny, Wiesław
Powiązania:
https://bibliotekanauki.pl/articles/425020.pdf
Data publikacji:
2015
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
membership function
quality of life
multidimensional data analysis
Opis:
In this paper a multivariate analysis of the subjective perception of quality of life is undertaken. In the analysis methods of a fuzzy set theory are applied. The study is conducted on data from the Social Diagnosis 2013. It includes 16 items relating to the evaluation of satisfaction with particular aspects of life. Each of these items is measured on a 7-grade scale. The item’s categories are converted into a [0, 1] interval by using a membership function. In order to aggregate items into synthetic indicators various systems of weights are used. It is found that the choice of weights does not significantly affect the distribution of synthetic indicators. In the next stage, the subjective perception of the quality of life in different socio- -demographic groups is analyzed. It is found that such characteristics as gender, place of residence, size of household, education level and age are important determinants of subjective perception of quality of life.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2015, 4 (50); 62-78
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis of groundwater quality in the lower Soummam Valley, North-East of Algeria
Autorzy:
Ghodbane, Messaoud
Benaabidate, Lahcen
Boudoukha, Abderrahmane
Gaagai, Aissam
Adjissi, Omar
Chaib, Warda
Aouissi, Hani Amir
Powiązania:
https://bibliotekanauki.pl/articles/2174331.pdf
Data publikacji:
2022
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
Algeria
analysis of groundwater quality
hydrochemical data
multivariate statistical analysis
Soummam Valley
Opis:
Analysis of groundwater quality in the alluvial aquifer of the lower Soummam Valley, North-East of Algeria, was realised through the application of multivariate statistical methods: hierarchical cluster analysis (HCA) in Q and R modes, factorial correspondence analysis (FCA), and principal component analysis (PCA), to hydrochemical data from 51 groundwater samples, collected from 17 boreholes during periods of June, September 2016 and March 2017. The objectives of this approach are to characterise the water quality and to know the factors which govern its evolution by processes controlling its chemical composition. The Piper diagram shows two hydrochemical facies: calcium chloride and sodium bicarbonate. Statistical techniques HCA, PCA, and FCA reveal two groups of waters: the first (EC, Ca2+, Mg2+, Cl-, SO42- and NO3-) of evaporitic origin linked to the dissolution processes of limestone rocks, leaching of saliferous soils and anthropogenic processes, namely contamination wastewater and agricultural activity, as well marine intrusion; and the second group (Na+, K+, and HCO3-) of carbonated origin influenced by the dissolution of carbonate formations and the exchange of bases. The hermodynamic study has shown that all groundwater is undersaturated with respect to evaporitic minerals. On the other hand, it is supersaturated with respect to carbonate minerals, except for water from boreholes F9, F14, and F16, which possibly comes down to the lack of dissolution and arrival of these minerals. The results of this study clearly demonstrate the utility of multivariate statistical methods in the analysis of groundwater quality.
Źródło:
Journal of Water and Land Development; 2022, 54; 1--12
1429-7426
2083-4535
Pojawia się w:
Journal of Water and Land Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Microarray Inspector: tissue cross contamination detection tool for microarray data
Autorzy:
Stępniak, Piotr
Maycock, Matthew
Wojdan, Konrad
Markowska, Monika
Perun, Serhiy
Srivastava, Aashish
Wyrwicz, Lucjan
Świrski, Konrad
Powiązania:
https://bibliotekanauki.pl/articles/1039460.pdf
Data publikacji:
2013
Wydawca:
Polskie Towarzystwo Biochemiczne
Tematy:
microarray
transcription profiling
contamination analysis
adipose tissue
cancer
data quality
Opis:
Microarray technology changed the landscape of contemporary life sciences by providing vast amounts of expression data. Researchers are building up repositories of experiment results with various conditions and samples which serve the scientific community as a precious resource. Ensuring that the sample is of high quality is of utmost importance to this effort. The task is complicated by the fact that in many cases datasets lack information concerning pre-experimental quality assessment. Transcription profiling of tissue samples may be invalidated by an error caused by heterogeneity of the material. The risk of tissue cross contamination is especially high in oncological studies, where it is often difficult to extract the sample. Therefore, there is a need of developing a method detecting tissue contamination in a post-experimental phase. We propose Microarray Inspector: customizable, user-friendly software that enables easy detection of samples containing mixed tissue types. The advantage of the tool is that it uses raw expression data files and analyses each array independently. In addition, the system allows the user to adjust the criteria of the analysis to conform to individual needs and research requirements. The final output of the program contains comfortable to read reports about tissue contamination assessment with detailed information about the test parameters and results. Microarray Inspector provides a list of contaminant biomarkers needed in the analysis of adipose tissue contamination. Using real data (datasets from public repositories) and our tool, we confirmed high specificity of the software in detecting contamination. The results indicated the presence of adipose tissue admixture in a range from approximately 4% to 13% in several tested surgical samples.
Źródło:
Acta Biochimica Polonica; 2013, 60, 4; 647-655
0001-527X
Pojawia się w:
Acta Biochimica Polonica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Metoda DEA pomiaru efektywności działalności dydaktycznej szkół wyższych
DEA methodology to measure efficiency of knowledge creation and sharing in higher education institutions
Autorzy:
Szuwarzyński, Andrzej
Powiązania:
https://bibliotekanauki.pl/articles/1365252.pdf
Data publikacji:
2016-02-11
Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:
higher education
quality management
Data Envelopment Analysis (DEA) methodology
szkolnictwo wyższe
zarządzanie jakością
metoda Data Envelopment Analysis (DEA)
Opis:
Autor podejmuje problematykę zarządzania jakością w instytucjach edukacyjnych, wskazując na konieczność poszukiwania skutecznych rozwiązań w tym zakresie. Jedną z możliwych metod ewaluacyjnych jest Data Envelopment Analysis (DEA). Metoda ta, zdaniem Autora, może być skutecznie stosowana do pomiaru jakości procesu tworzenia i transmisji wiedzy w szkołach wyższych.
The Author focuses on the problem of knowledge management in education institutions, identifying the need to seek effective solutions in this area. One possible evaluation method is called Data Envelopment Analysis (DEA). In Author’s opinion, this methodology can be successfully used to measure the quality of knowledge creation and sharing in higher educational institutions.
Źródło:
Nauka i Szkolnictwo Wyższe; 2006, 2, 28; 78-88
1231-0298
Pojawia się w:
Nauka i Szkolnictwo Wyższe
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Ocena przydatności OpenStreetMap jako źródła danych dla analiz sieciowych
Assessment of OpenStreetMap suitability as a data source for network analysis
Autorzy:
Cichociński, P.
Powiązania:
https://bibliotekanauki.pl/articles/346835.pdf
Data publikacji:
2012
Wydawca:
Polskie Towarzystwo Informacji Przestrzennej
Tematy:
jakość danych
normalizacja
dane przestrzenne
OpenStreetMap
analiza sieciowa
data quality
standardization
spatial data
network analysis
Opis:
Od kilku lat użytkownicy oprogramowania GIS mają do dyspozycji zbiór danych stanowiący swego rodzaju alternatywę dla produktów komercyjnych. Jest nim OpenStreetMap (w skrócie OSM) – projekt mający za cel zbudowanie edytowalnej i dostępnej bez ograniczeń mapy świata. Mapa taka tworzona jest na podstawie danych z ręcznych odbiorników GPS, zdjęć lotniczych oraz innych dostępnych źródeł danych, a także szkiców wykonywanych w terenie. Zgromadzona informacja zapisywana jest w jednej, centralnej bazie danych, z której może być pobierana w postaci obrazu mapy zaprezentowanego przy użyciu wybranej symboliki lub danych wektorowych. Dane z takiego źródła mogą być zastosowane między innymi do przeprowadzania analiz sieciowych, z których najszerzej wykorzystywana i najczęściej spotykana jest funkcja znajdowania optymalnej trasy pomiędzy dwoma punktami. Aby wynik takiej analizy można było uznać za wiarygodny, użyte dane muszą się charakteryzować odpowiednią jakością. Ponieważ baza danych OSM budowana jest przez wolontariuszy, nie są sformułowane żadne plany jej systematycznego rozwoju oraz brak jest odgórnej kontroli jakości. Dlatego w pracy zaproponowano metody i narzędzia, które pozwolą zweryfikować przydatność zgromadzonych do tej pory danych dla celów analiz sieciowych, jak również poprawić znalezione błędy. Spośród rozważanych dla danych geograficznych aspektów jakości, szczególną uwagę zwrócono na: kompletność, dokładność położenia, spójność topologiczną i dokładność czasową. Dwa pierwsze problemy wymagają w praktyce porównania z rzeczywistym przebiegiem dróg i ulic. Do rozwiązania problemu spójności geometrycznej zasugerowano wykorzystanie odpowiednich reguł topologicznych badających wybrane relacje przestrzenne pomiędzy obiektami geograficznymi. Po zasygnalizowaniu wykrytych w ten sposób błędów, można je poprawiać zarówno metodami automatycznymi, jak też metodami półautomatycznymi bądź ręcznymi.
For several years now, GIS users have at their disposal the data set constituting some kind of alternative to commercial products. It is the OpenStreetMap (OSM) – a project with the objective to build an editable and available without restrictions map of the world. This map is created based on data from handheld GPS receivers, aerial photographs and other available data sources, as well as sketches made in the field. Acquired information is stored in one central database, from which it can be downloaded as a map image using selected symbols or as vector data. Data from this source can be used, among others, for network analysis, of which the most widely used and the most common function is finding the optimal route between two points. For the result of this analysis to be considered reliable, the data used must be of appropriate quality. Because the OSM database is built by volunteers, there are no plans of its systematic development and there is no top-down quality control. Therefore, the paper proposes methods and tools to verify the suitability of the so far collected data for the purposes of network analysis, as well as to correct errors found. Among the quality aspects considered for geographical data, particular attention was paid to the completeness, positional accuracy, topological consistency and temporal accuracy. The first two problems require in practice comparison with the actual course of roads and streets. To solve the problem of geometric consistency, the use of relevant topological rules examining selected spatial relationships between geographic objects was suggested. When the errors detected this way are marked, they can be corrected using automated methods, and also semi-automatic or manual methods.
Źródło:
Roczniki Geomatyki; 2012, 10, 7; 15-24
1731-5522
2449-8963
Pojawia się w:
Roczniki Geomatyki
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Assessment of soil quality in organic and non-organic paddy fields with technical irrigation system in Susukan
Autorzy:
Haryuni, H.
Wirawati, H.
Minardi, S.
Supriyadi, S.
Powiązania:
https://bibliotekanauki.pl/articles/971160.pdf
Data publikacji:
2020
Wydawca:
Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
Tematy:
soil quality
paddy fields
principal component analysis
minimum data set (mds)
soil quality index (sqi)
Opis:
Soil quality is a measure of the condition of soil. The goal of sustainable agriculture is to maintain a non-negative trend in productivity while maintaining soil quality. Susukan is an area in Semarang, Central Java, Indonesia, which has developed organic farming to increase rice productiv- ity and quality. The main objective was to determine the sustainability of organic rice cropping sys- tems. The organic farming system at the research location has been conducted for 8 years. Appropri- ate agricultural management can maintain the quality of soil, environment and improve the health of plants, animals and humans. This research aims to know the soil quality and determine the minimum data set (MDS) in organic and non-organic paddy field with a technical irrigation system. Paddy soil samples were analyzed in the laboratory. The parameters are porosity, permeability, hydrogen potential (pH), cation exchange capacity (CEC), soil organic matter (SOC), total-N (nitrogen), car- bon/nitrogen (C/N) ratio, available-P (phosphorus), available-K (potassium), base saturation (BS), electric conductivity (EC), soil respiration (qCO2), redox potential (Eh) with 3 repetitions. The value of soil quality index (SQI) in the organic paddy field is 3.216 with bad soil quality criteria, while the non-organic paddy field is 0.147 with very bad criteria. The soil quality values are based on the key factors or MDS that is potential redox (EH), soil respiration (qCO2), potential hydrogen (pH), poros- ity, soil organic matter (SOC), total-N (nitrogen), C/N ratio, available-P (phosphorus).
Źródło:
Polish Journal of Soil Science; 2020, 53, 1
0079-2985
Pojawia się w:
Polish Journal of Soil Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Assessment of soil quality in organic and non-organic paddy fields with technical irrigation system in Susukan
Autorzy:
Haryuni, Haryuni
Wirawati, Hesti
Minardi, Slamet
Supriyadi, Supriyadi
Powiązania:
https://bibliotekanauki.pl/articles/2088202.pdf
Data publikacji:
2020
Wydawca:
Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
Tematy:
soil quality
paddy fields
principal component analysis
minimum data set (MDS)
soil quality index (SQI)
Opis:
Soil quality is a measure of the condition of soil. The goal of sustainable agriculture is to maintain a non-negative trend in productivity while maintaining soil quality. Susukan is an area in Semarang, Central Java, Indonesia, which has developed organic farming to increase rice productivity and quality. The main objective was to determine the sustainability of organic rice cropping systems. The organic farming system at the research location has been conducted for 8 years. Appropriate agricultural management can maintain the quality of soil, environment and improve the health of plants, animals and humans. This research aims to know the soil quality and determine the minimum data set (MDS) in organic and non-organic paddy field with a technical irrigation system. Paddy soil samples were analyzed in the laboratory. The parameters are porosity, permeability, hydrogen potential (pH), cation exchange capacity (CEC), soil organic matter (SOC), total-N (nitrogen), carbon/nitrogen (C/N) ratio, available-P (phosphorus), available-K (potassium), base saturation (BS), electric conductivity (EC), soil respiration (qCO2), redox potential (Eh) with 3 repetitions. The value of soil quality index (SQI) in the organic paddy field is 3.216 with bad soil quality criteria, while the non-organic paddy field is 0.147 with very bad criteria. The soil quality values are based on the key factors or MDS that is potential redox (EH), soil respiration (qCO2), potential hydrogen (pH), porosity, soil organic matter (SOC), total-N (nitrogen), C/N ratio, available-P (phosphorus).
Źródło:
Polish Journal of Soil Science; 2020, 53, 1; 81-95
0079-2985
Pojawia się w:
Polish Journal of Soil Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Near infrared [NIR] technology and multivariate data analysis for sensing taste attributes of apples
Autorzy:
Abu-Khalaf, N.
Bennedsen, B.S.
Powiązania:
https://bibliotekanauki.pl/articles/26544.pdf
Data publikacji:
2004
Wydawca:
Polska Akademia Nauk. Instytut Agrofizyki PAN
Tematy:
internal quality parameter
taste
near infrared technology
apple
fruit
multivariate data analysis
Źródło:
International Agrophysics; 2004, 18, 3
0236-8722
Pojawia się w:
International Agrophysics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Water Quality Classification by Integration of Attribute-Realization and Support Vector Machine for the Chao Phraya River
Autorzy:
Sillberg, Chalisa Veesommai
Kullavanijaya, Pratin
Chavalparit, Orathai
Powiązania:
https://bibliotekanauki.pl/articles/1955579.pdf
Data publikacji:
2021
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
environmental data analysis
machine learning
SVM
support vector machine
water quality index
WQI
Opis:
The water quality index (WQI) is an essential indicator to manage water usage properly. This study aimed at applying a machine learning-based approach integrating attribute-realization (AR) and support vector machine (SVM) algorithm to classify the Chao Phraya River’s water quality. The historical monitoring dataset during 2008-2019 including biological oxygen demand (BOD), conductivity (Cond), dissolved oxygen (DO), faecal coliform bacteria (FCB), total coliform bacteria (TCB), ammonia (NH3-N), nitrate (NO3-N), salinity (Sal), suspended solids (SS), total nitrogen (TN), total dissolved solids (TDS), and turbidity (Turb), were processed via four studied steps: data pre-processing by means substituting method, contributing parameter evaluation by recognition pattern study, examination of the mathematic functions for quality classification, and validation of obtained approach. The results showed that NH3-N, TCB, FCB, BOD, DO, and Sal were the main attributes contributing orderly to water quality classification with confidence values of 0.80, 0.79, 0.78, 0.76, 0.69, and 0.64, respectively. Linear regression was the most suitable function to river water data classification than Sigmoid, Radial basis and Polynomial. The different number of attributes and mathematic functions promoted the different classification performance and accuracy. The validation confirmed that AR-SVM was a potent approach application to classify river water’s quality with 0.86-0.95 accuracy when applied three to six attributes.
Źródło:
Journal of Ecological Engineering; 2021, 22, 9; 70-86
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Ranking of Combined Nomenclature Chapters According to Quality of Data on Intra‑Community Trade in Goods of Polish Businesses
Ranking działów nomenklatury scalonej CN według jakości danych w wewnątrzwspólnotowym handlu polskich firm
Autorzy:
Markowicz, Iwona
Baran, Paweł
Powiązania:
https://bibliotekanauki.pl/articles/657066.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
jakość danych statystycznych
handel zagraniczny
INTRASTAT
analiza danych lustrzanych
statistical data quality
international trade
analysis of mirror data
Opis:
Wprowadzenie w Polsce systemu INTRASTAT wraz z wejściem naszego kraju do Unii Europejskiej 1 kwietnia 2004 roku spowodowało nałożenie na podmioty prowadzące obrót towarowy z innymi państwami członkowskimi UE obowiązku przekazywania informacji o zrealizowanych przez nie obrotach. Dane o handlu wewnątrzwspólnotowym z poszczególnych krajów gromadzone są przez Eurostat i udostępniane w postaci bazy Comext. W celu określenia jakości danych o wewnątrzwspólnotowej wymianie towarowej zbadano różnice między deklarowanymi wartościami wywozu towarów z Polski i przywozu z Polski do pozostałych krajów unijnych. Celem artykułu jest analiza jakości danych o polskim handlu wewnątrzunijnym w podziale na działy nomenklatury scalonej CN oraz utworzenie rankingu działów pod względem jakości danych, rozumianej jako rozbieżność między danymi lustrzanymi. Pomiaru jakości danych dokonano z wykorzystaniem zagregowanych wskaźników rozbieżności. Zaprezentowano ranking działów według wyznaczonych wartości wskaźników, osobno dla wewnątrzwspólnotowych dostaw towarów (WDT) i wewnątrzwspólnotowych nabyć towarów (WNT). Wykorzystano dane z bazy Comext dotyczące transakcji wewnątrzwspólnotowych polskich eksporterów w 2017 roku. Efektem przeprowadzonego badania było wskazanie działów o największych względnych rozbieżnościach między danymi lustrzanymi (najniższej jakości danych). W działach o najniższej jakości wskazano wewnętrzną strukturę rozbieżności według krajów oraz pozycji klasyfikacji towarowej. Problem jakości danych dotyczących handlu wewnątrzwspólnotowego jest poruszany w Polsce jedynie w publikacjach GUS‑u. Brak jest prac naukowych w tym zakresie. Dlatego też autorzy postanowili wypełnić tę lukę i prowadzić badania nad źródłami informacji, które są podstawą wielu analiz gospodarczych.
Adopting the Intrastat system in Poland on its EU‑accession on 1st May, 2004 imposed a new obligation on companies trading goods within the EU. They are obliged to provide information on their intra‑Community trade in the form of monthly declarations. Data on intra‑Community trade from all Member States are collected by Eurostat and disseminated in the form of the Comext database. In public statistics, special attention is being paid to data quality. It is constantly monitored and certain actions are taken to improve it. In order to assess quality of data on intra‑Community trade, the authors have calculated differences between declared values of supplies of goods from Poland as well as foreign acquisitions originating in Poland. The aims of the paper are an analysis of quality of data on Polish intra‑Community trade in goods within Combined Nomenclature chapters as well as creating a ranking of chapters with regard to data accuracy (one of quality dimensions) which we define in terms of divergence between mirror data. Data accuracy was measured with the use of aggregate data quality indices. The ranking of Combined Nomenclature (CN) chapters was presented according to the calculated index value for both intra‑Community supplies of goods (ICS) and intra‑Community acquisitions (ICA). We utilised data on Polish exporters’ transactions from 2017 from the Comext database. In the research results, we indicate those chapters for which large relative discrepancies between mirror data are observed (thus data quality is low). For chapters with low data quality, we present inner structures of discrepancies by country and by CN position. The problem of quality of data on intra‑Community trade is addressed in Poland only in publications of the Central Statistical Office/Statistics Poland. There are no scientific publications on this subject. Therefore, the authors decided to fill this gap and conduct research on sources of information which is the basis for many economic analyses.
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2019, 4, 343; 195-209
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Soil quality assessment of the rainfed lowland ricefields under organic and conventional farming systems in Kaliwungu (Central Java)
Autorzy:
Supriyadi, Supriyadi
Rachmawati, Septiana
Herawati, Aktavia
Purwanto, Purwanto
Powiązania:
https://bibliotekanauki.pl/articles/762795.pdf
Data publikacji:
2018
Wydawca:
Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
Tematy:
soil quality index (SQI), rainfed lowland rice, principal component analysis (PCA), minimum data set (MDS)
Opis:
Rainfed lowland rice is grown in land where the irrigation systems depend on rainwater. The use of chemical fertilizers in large quantities in order to improve production of rice will result in soil quality degradation. In order to improve the condition of the soil, a system of organic farming was provided. The aim of this study was to quantify soil quality in rainfed lowland ricefilds using soil quality indexes (SQI) and to compare SQIs of farming system under organic and conventional fertilization. The sample consists of seven sample points on soil fertilized organically and three sample points on soil which is managed in a conventional way, each taken from 5 subpoints at a depth of 0–30 cm and analyzed for 12 soil variables. The best representative soil quality variables forming a minimum data set (MDS) were selected using principal component analysis (PCA), and soil quality scores were obtained using both linear and non-linear scoring functions. The study results indicate that in case of organic farming system, the soil quality was better (SQI = 2.079) when compared to its quality in the conventional farming system (SQI = 1.397). The selected indicators used as the MDS are soil porosity, cation exchange capacity (CEC), soil organic carbon, C/N ratio, soil permeability, available-P (Av-P), and electrical conductivity (EC)
Źródło:
Polish Journal of Soil Science; 2018, 51, 2
0079-2985
Pojawia się w:
Polish Journal of Soil Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Ankietyzacja w komunikacji elektronicznej w Polsce
The surveys in electronic communications in Poland
Autorzy:
Klimasara, E.
Powiązania:
https://bibliotekanauki.pl/articles/317708.pdf
Data publikacji:
2010
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
badania ankietowe
komunikacja elektroniczna
jakość usług
zaawansowana analiza informacji
surveys
electronic communications
quality of service
advanced data analysis
Opis:
W pracy przedstawiono przykłady wykorzystania badań ankietowych w Polsce przez różne organizacje związane z komunikacją elektroniczną zarówno przez administrację centralną, samorządową, jaki i przez firmy komercyjne. Ponadto zwrócono uwagę na zastosowania zaawansowanych technik analitycznych, dzięki którym można uzyskać pełniejszą wiedzę z zebranych informacji.
The paper presents examples of using surveys in Poland by the various organizations related to electronic communications, both by the central administration, local governments and commercial enterprises. In addition, the authors highlighted application of advanced analytical techniques enabling to obtain a more thorough knowledge from the information gathered.
Źródło:
Telekomunikacja i Techniki Informacyjne; 2010, 1-2; 71-80
1640-1549
1899-8933
Pojawia się w:
Telekomunikacja i Techniki Informacyjne
Dostawca treści:
Biblioteka Nauki
Artykuł

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