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Sampling designs dependent on sample parameters of auxiliary variables
Record Type:
Electronic resources : Monograph/item
Title/Author:
Sampling designs dependent on sample parameters of auxiliary variablesby Janusz L. Wywial.
Author:
Wywial, Janusz L.
Published:
Berlin, Heidelberg :Springer Berlin Heidelberg :2015.
Description:
x, 78 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Sampling (Statistics)
Online resource:
http://dx.doi.org/10.1007/978-3-662-47383-2
ISBN:
9783662473832 (electronic bk.)
Sampling designs dependent on sample parameters of auxiliary variables
Wywial, Janusz L.
Sampling designs dependent on sample parameters of auxiliary variables
[electronic resource] /by Janusz L. Wywial. - Berlin, Heidelberg :Springer Berlin Heidelberg :2015. - x, 78 p. :ill., digital ;24 cm. - SpringerBriefs in statistics,2191-544X. - SpringerBriefs in statistics..
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.
ISBN: 9783662473832 (electronic bk.)
Standard No.: 10.1007/978-3-662-47383-2doiSubjects--Topical Terms:
182291
Sampling (Statistics)
LC Class. No.: QA276.6
Dewey Class. No.: 519.52
Sampling designs dependent on sample parameters of auxiliary variables
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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.
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Mathematics and Statistics (Springer-11649)
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