Sampling designs dependent on sample parameters of auxiliary variables /

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Bibliographic Details
Author / Creator:Wywiał, Janusz L., author.
Imprint:Heidelberg : Springer, 2015.
Description:1 online resource (x, 78 pages) : illustrations.
Language:English
Series:SpringerBriefs in statistics, 2191-544X
SpringerBriefs in statistics.
Subject:Sampling (Statistics)
Mathematical statistics.
Mathematical statistics.
Mathematics.
Sampling (Statistics)
MATHEMATICS -- Applied.
MATHEMATICS -- Probability & Statistics -- General.
Mathematical statistics.
Sampling (Statistics)
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11094494
Hidden Bibliographic Details
ISBN:9783662473832
3662473836
3662473828
9783662473825
9783662473825
Digital file characteristics:text file PDF
Notes:Includes bibliographical references.
Online resource; title from PDF title page (SpringerLink, viewed June 17, 2015).
Summary: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.
Other form:Print version: Wywial, Janusz L. Sampling Designs Dependent on Sample Parameters of Auxiliary Variables. Berlin, Heidelberg : Springer Berlin Heidelberg, ©2015 9783662473825
Standard no.:10.1007/978-3-662-47383-2
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520 |a 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. 
505 0 |a Preface; Contents; 1 Introduction and Basic Sampling Strategies; 1.1 Aim and Outline of This Book; 1.2 Population and Parameters; 1.3 Sampling Design and Sampling Scheme; 1.4 Estimation; References; 2 Sampling Designs Dependent on Sample Moments of Auxiliary Variables; 2.1 Sampling Design Proportional to Sample Mean; 2.2 Sampford's Sampling Design; 2.3 Sampling Design Proportional to Sample Variance; 2.4 Sampling Designs Proportional to the Generalized Variance; References; 3 Sampling Designs Based on Order Statistics of Auxiliary Variable; 3.1 Basic Properties of Order Statistics. 
505 8 |a 3.2 Sampling Design Proportional to Function of One-Order Statistic3.3 Sampling Design Proportional to Function of Two-Order Statistics; 3.4 Sampling Design Proportional to Function of Three-Order Statistics; References; 4 Simulation Analysis of the Efficiency of the Strategies; 4.1 Description of the Simulation Experiments; 4.2 Efficiency of Estimation Strategies Dependent on Sample Moments or Order Statistics; 4.3 Efficiency of Estimation Strategies Dependent on the Sum of Order Statistics; 4.4 Efficiency Estimation of Domain Mean; 4.5 Estimation of Quantiles; 4.6 Conclusions; References. 
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