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Sampling designs dependent on sample...

Wywial, Janusz L.

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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 variables/ by Janusz L. Wywial.
Author:	Wywial, Janusz L.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2021.,
Description:	x, 107 p. :ill., digital ;24 cm.
[NT 15003449]:	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 -- Sampling Designs dependent on a Continuous Auxiliary Variable.
Contained By:	Springer Nature eBook
Subject:	Sampling (Statistics) -
Online resource:	https://doi.org/10.1007/978-3-662-63413-4
ISBN:	9783662634134

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. - Second edition. - Berlin, Heidelberg :Springer Berlin Heidelberg :2021. - x, 107 p. :ill., digital ;24 cm. - SpringerBriefs in statistics,2191-5458. - SpringerBriefs in statistics..

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 -- Sampling Designs dependent on a Continuous Auxiliary Variable.

This short monograph provides a synthesis of new research on sampling designs that are dependent on sample moments or the order statistics of auxiliary variables. The range of survey sampling methods and their applications has gradually increased over time, and these applications have led to new theoretical solutions that provide better sampling designs or estimators. Recently, several important properties of sampling designs have been discovered, and many new methods have been published. Offering an overview of these developments, this book describes sampling designs dependent on the sample generalized variance of auxiliary variables, examines properties of sampling designs proportional to functions of sample order statistics of the auxiliary variable, and takes into account continuous sampling designs. The text will be useful for students and statisticians whose work involves survey sampling, and it will inspire those looking for new sampling designs dependent on auxiliary variables.

ISBN: 9783662634134

Standard No.: 10.1007/978-3-662-63413-4doiSubjects--Topical Terms:

545623
Sampling (Statistics)

LC Class. No.: QA276.6 / .W98 2021

Dewey Class. No.: 519.52

Sampling designs dependent on sample parameters of auxiliary variables
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505 0 $a 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 -- Sampling Designs dependent on a Continuous Auxiliary Variable.
520 $a This short monograph provides a synthesis of new research on sampling designs that are dependent on sample moments or the order statistics of auxiliary variables. The range of survey sampling methods and their applications has gradually increased over time, and these applications have led to new theoretical solutions that provide better sampling designs or estimators. Recently, several important properties of sampling designs have been discovered, and many new methods have been published. Offering an overview of these developments, this book describes sampling designs dependent on the sample generalized variance of auxiliary variables, examines properties of sampling designs proportional to functions of sample order statistics of the auxiliary variable, and takes into account continuous sampling designs. The text will be useful for students and statisticians whose work involves survey sampling, and it will inspire those looking for new sampling designs dependent on auxiliary variables.
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