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Sampling Designs Dependent on Sample Parameters of Auxiliary Variables

  • Kartonierter Einband
  • 78 Seiten
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The book offers a valuable resource for students and statisticians whose work involves survey sampling. An estimation of the popul... Weiterlesen
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Beschreibung

The book offers a valuable resource for students and statisticians whose work involves survey sampling. An estimation of the population parameters in finite and fixed populations assisted by auxiliary variables is considered. New sampling designs dependent on moments or quantiles of auxiliary variables are presented on the background of the classical methods. Accuracies of the estimators based on original sampling design are compared with classical estimation procedures. Specific conditional sampling designs are applied to problems of small area estimation as well as to estimation of quantiles of variables under study.



Presents valuable resource for students and statisticians using survey sampling

Offers new sampling designs

Provides sampling methods and application of statistical inference methods in economics research



Autorentext

Prof. Wywial is a professor of Economics and Statistics at the Department of Statistics of the University of Economics in Katowice, Poland. He received his PhD degree in 1985 at the University of Economics in Katowice. He has been the chair of the Department of Statistics since 2000. Since 2007 he is a member of the International Statistical Institute. His interests are mainly focused on survey sampling methods and application of statistical inference methods in economics research.



Inhalt
Introduction and Basic Sampling Strategies.- Sampling Designs Dependent on Sample Moments of Auxiliary Variables.- Sampling Designs Based on Order Statistics of Auxiliary Variable.- Simulation Analysis of the Efficiency of the Strategies.

Produktinformationen

Titel: Sampling Designs Dependent on Sample Parameters of Auxiliary Variables
Autor:
EAN: 9783662473825
ISBN: 978-3-662-47382-5
Format: Kartonierter Einband
Herausgeber: Springer-Verlag GmbH
Genre: Mathematik
Anzahl Seiten: 78
Gewicht: 149g
Größe: H235mm x B155mm x T5mm
Jahr: 2015
Auflage: 2015

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