dc.contributor.author | Bartosińska, Dorota | |
dc.date.accessioned | 2013-06-04T17:39:45Z | |
dc.date.available | 2013-06-04T17:39:45Z | |
dc.date.issued | 2012 | |
dc.identifier.issn | 0208-6018 | |
dc.identifier.uri | http://hdl.handle.net/11089/1897 | |
dc.description.abstract | Many sample surveys are not based on simple or unrestricted random samples, but
usually on complex samples with stratification, clustering, unequal inclusion probabilities and
multistage sampling. To estimate a parameter, all individual data from complex sample must be
weighted by weights connected with sample selection scheme and statification and adjusted for
nonresponse and noncoverage errors. Standard statistical computer software is correct for
statistical inference from unrestricted random sample, but not from complex sample. The aim of
this paper is to present utility of SAS software to statistical inference from complex sample. Data
from Household Budget Survey 2008 were used in examples. | pl_PL |
dc.language.iso | en | pl_PL |
dc.publisher | Wydawnictwo Uniwersytetu Łódzkiego | pl_PL |
dc.relation.ispartofseries | Acta Universitatis Lodziensis, Folia Oeconomica;269 | |
dc.subject | complex sample | pl_PL |
dc.subject | household budget survey | pl_PL |
dc.subject | statistical inference | pl_PL |
dc.title | Statistical Inference from Complex Sample with SAS on the Example of Household Budget Surveys | pl_PL |
dc.title.alternative | Wnioskowanie statystyczne z prób złożonych z SAS na przykładzie badania budżetów gospodarstw domowych | pl_PL |
dc.type | Article | pl_PL |
dc.page.number | 167-174 | |
dc.contributor.authorAffiliation | Szkoła Główna Handlowa w Warszawie; Kolegium Analiz Ekonomicznych; Instytut Statystyki i Demografii | |