dc.contributor.author | Dehnel, Grażyna | |
dc.date.accessioned | 2013-06-03T13:13:59Z | |
dc.date.available | 2013-06-03T13:13:59Z | |
dc.date.issued | 2012 | |
dc.identifier.issn | 0208-6018 | |
dc.identifier.uri | http://hdl.handle.net/11089/1867 | |
dc.description.abstract | There are many surveys of populations that contain a number of extreme values. This is particularly
true in surveys of business enterprises. Outliers observations can have an important effect
on work with estimation especially on low level of the aggregation. Although the values are extreme,
they need not necessarily be false; extremely large observations are a natural component in
survey populations. So we shall explore some alternative technique estimation less sensitive to
outliers. In this paper we examine local regression which has ability to accommodate local departures
from the underlying linear model in business statistics. | pl_PL |
dc.language.iso | pl | pl_PL |
dc.publisher | Wydawnictwo Uniwersytetu Łódzkiego | pl_PL |
dc.relation.ispartofseries | Acta Universitatis Lodziensis, Folia Oeconomica;271 | |
dc.subject | estymacja jądrowa | pl_PL |
dc.subject | statystka małych obszarów | pl_PL |
dc.subject | statystyka gospodarcza | pl_PL |
dc.title | Estymacja lokalna w szacowaniu informacji o działalności gospodarczej mikroprzedsiębiorstw | pl_PL |
dc.title.alternative | Local Estimation in Small Business Research | pl_PL |
dc.type | Article | pl_PL |
dc.page.number | 5-18 | |
dc.contributor.authorAffiliation | Uniwersytet Ekonomiczny w Poznaniu; Wydział Informatyki i Gospodarki Elektronicznej; Katedra Statystyki | |