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dc.contributor.authorDziechciarz, Józef
dc.contributor.authorDziechciarz-Duda, Marta
dc.date.accessioned2017-11-17T14:22:01Z
dc.date.available2017-11-17T14:22:01Z
dc.date.issued2017
dc.identifier.issn0208-6018
dc.identifier.urihttp://hdl.handle.net/11089/23300
dc.description.abstractMeasurement of household endowment with durables is crucial in many aspects of assessing the social and economic situation of a country and its citizens. The demand (sales) for durables is regarded as one of the key indicators of economic conditions. Similarly, analysis and evaluation of household durable goods are usually considered in the context of measuring the quality of life. The possession of durables is measured by means of the number and quality of goods in households. Measurement of household endowment is conducted usually by means of weak measurement scales, namely nominal and ordinal. Such data require the use of specialised tools for analysis and modelling. This study discusses the possibilities of statistical analysis of such data. Additionally, modelling and problems of inference on the basis of obtained results are discussed.en_GB
dc.description.abstractPomiar wyposażenia gospodarstw domowych jest kluczowy w wielu aspektach oceny stanu społeczno‑ekonomicznego kraju i jego obywateli. Zapotrzebowanie (sprzedaż) jest traktowane jako jeden z kluczowych wskaźników stanu koniunktury w gospodarce. Podobnie analiza i ocena poziomu wyposażenia gospodarstw domowych w dobra trwałe są rozpatrywane w kontekście pomiaru jakości życia. W badaniu wyposażenia gospodarstw domowych mierzy się liczbę i jakość dóbr, w jakie wyposażone są gospodarstwa domowe. Pomiar wyposażenia gospodarstw domowych prowadzony jest najczęściej za pomocą słabych skali pomiarowych, nominalnej i porządkowej. Takie dane wymagają stosowania wyspecjalizowanych narzędzi analizy i modelowania. W opracowaniu zostanie podjęta dyskusja o możliwościach statystycznej analizy takich danych i ich modelowania oraz o problemach wnioskowania na podstawie uzyskanych wyników.pl_PL
dc.language.isoenen_GB
dc.publisherWydawnictwo Uniwersytetu Łódzkiegoen_GB
dc.relation.ispartofseriesActa Universitatis Lodziensis. Folia Oeconomica;330
dc.subjectnon‑metric data analysisen_GB
dc.subjectdurable goodsen_GB
dc.subjectcorrespondence analysisen_GB
dc.subjectlogistic regressionen_GB
dc.subjectclassification treesen_GB
dc.subjectcarten_GB
dc.subjecthouseholdsen_GB
dc.subjectanaliza danych niemetrycznychpl_PL
dc.subjectdobra trwałepl_PL
dc.subjectanaliza korespondencjipl_PL
dc.subjectregresja logistycznapl_PL
dc.subjectdrzewa klasyfikacyjnepl_PL
dc.subjectCARTpl_PL
dc.subjectgospodarstwa domowepl_PL
dc.titleNon‑Metric Data in Household Durable Goods Analysis. Selected Aspectsen_GB
dc.title.alternativeAnaliza danych niemetrycznych w badaniu wyposażenia gospodarstw domowych w dobra trwałe. Wybrane aspektypl_PL
dc.typeArticleen_GB
dc.rights.holder© Copyright by Authors, Łódź 2017; © Copyright for this edition by Uniwersytet Łódzki, Łódź 2017en_GB
dc.page.number[111]-128
dc.contributor.authorAffiliationWroclaw University of Economics, Faculty of Management, Computer Science and Finance, Department of Econometrics and Operations Research
dc.contributor.authorAffiliationWroclaw University of Economics, Faculty of Economics, Management and Tourism, Department of Econometrics and Computer Science
dc.identifier.eissn2353-7663
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dc.contributor.authorEmailjozef.dziechciarz@ue.wroc.pl
dc.contributor.authorEmailmarta.dziechciarz@ue.wroc.pl
dc.identifier.doi10.18778/0208–6018.330.08
dc.relation.volume4en_GB
dc.subject.jelC1
dc.subject.jelF2


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