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dc.contributor.authorKrzciuk, Małgorzata Karolina
dc.date.accessioned2018-01-29T09:51:34Z
dc.date.available2018-01-29T09:51:34Z
dc.date.issued2017
dc.identifier.issn0208-6018
dc.identifier.urihttp://hdl.handle.net/11089/23950
dc.description.abstract We consider the problem of the estimation of the mean squared error (MSE) of some domain mean predictor for Fay‑Herriot model. In the simulation study we analyze properties of eight MSE estimators including estimators based on the jackknife method (Jiang, Lahiri, Wan, 2002; Chen, Lahiri, 2002; 2003) and parametric bootstrap (Gonzalez‑Manteiga et al., 2008; Buthar, Lahiri, 2003). In the standard Fay‑Herriot model the independence of random effects is assumed, and the biases of the MSE estimators are small for large number of domains. The aim of the paper is the comparison of the properties of MSE estimators for different number of domains and the misspecification of the model due to the correlation of random effects in the simulation study. en_GB
dc.description.abstractW artykule rozważany jest problem estymacji błędu średniokwadratowego (MSE) w przypadku predykcji wartości średniej w domenie, w oparciu o model Faya-Herriota. W badaniu symulacyjnym analizowane są własności ośmiu estymatorów MSE, w tym bazujących na metodzie jackknife (Jiang, Lahiri, Wan (2002), Chen, Lahiri (2002, 2003)) oraz parametrycznej metodzie bootstrap (Gonzalez-Manteiga et al. (2008), Buthar, Lahiri (2003)). W modelu Faya-Herriota zakładana jest niezależność składników losowych, a obciążenia estymatorów MSE są małe dla dużej liczby domen. Celem artykułu jest porównanie własności estymatorów MSE przy różnej liczbie domen i błędnej specyfikacji modelu wynikającej z występowania korelacji efektów losowych w badaniu symulacyjnym.pl_PL
dc.language.isoenen_GB
dc.publisherWydawnictwo Uniwersytetu Łódzkiegoen_GB
dc.relation.ispartofseriesActa Universitatis Lodziensis. Folia Oeconomica;331
dc.subjectestimators of MSEen_GB
dc.subjectjackknifeen_GB
dc.subjectparametric bootstrapen_GB
dc.subjectEmpirical Best Linear Unbiased Predictoren_GB
dc.subjectFay‑Herriot modelen_GB
dc.subjectsimulationen_GB
dc.subjectestymatory MSEpl_PL
dc.subjectmetoda jackknifepl_PL
dc.subjectparametryczna metoda bootstrappl_PL
dc.subjectempiryczny najlepszy liniowy nieobciążony predyktorpl_PL
dc.subjectmodel Faya-Herriotapl_PL
dc.subjectbadanie symaluacyjnepl_PL
dc.titleOn the Simulation Study of Jackknife and Bootstrap MSE Estimators of a Domain Mean Predictor for Fay‑Herriot Modelen_GB
dc.title.alternativeO badaniu symulacyjnym własności estymatorów MSE predyktora wartości średniej dla modelu Faya-Herriota bazujących na metodzie jackknife oraz bootstrappl_PL
dc.typeArticleen_GB
dc.rights.holder© Copyright by Authors, Łódź 2017; © Copyright for this edition by Uniwersytet Łódzki, Łódź 2017en_GB
dc.page.number169-183
dc.contributor.authorAffiliationUniversity of Economics in Katowice. Department of Statistics, Econometrics and Mathematics
dc.identifier.eissn2353-7663
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dc.contributor.authorEmailmalgorzata.krzciuk@uekat.pl
dc.identifier.doi10.18778/0208-6018.331.11
dc.relation.volume5en_GB
dc.subject.jelC15
dc.subject.jelC83


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