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Ranked set sampling : theory and applications

Author: Zehua Chen; Zhidong Bai; Bimal K Sinha
Publisher: New York : Springer, ©2004.
Series: Lecture notes in statistics (Springer-Verlag), v. 176.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
This is the first book on the concept and applications of ranked set sampling. It provides a comprehensive review of the literature, and it includes many new results and novel applications. Scientists and researchers on this subject will find a balanced presentation of theory and applications. The mathematical rigor of the theoretical foundations makes it beneficial to researchers. The detailed description of  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Chen, Zehua.
Ranked set sampling.
New York : Springer, ©2004
(DLC) 2003060810
(OCoLC)52821286
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Zehua Chen; Zhidong Bai; Bimal K Sinha
ISBN: 9780387216645 0387216642 1280188413 9781280188411
OCLC Number: 666928432
Description: 1 online resource (xii, 224 pages) : illustrations.
Contents: Introduction --
Balanced Ranked Set Sampling I: Nonparametric --
Balanced Ranked Set Sampling II: Parametric --
Unbalanced Ranked Set Sampling and Optimal Designs --
Distribution-Free Tests with Ranked Set Sampling --
Ranked Set Sampling with Concomitant Variables --
Ranked Set Sampling as Data Reduction Tools --
Case Studies.
Series Title: Lecture notes in statistics (Springer-Verlag), v. 176.
Responsibility: Zehua Chen, Zhidong Bai, Bimal K. Sinha.
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Abstract:

A book on the concept and applications of ranked set sampling. It describes various methods illustrated by real or simulated data for scientists and practitioners in application areas such as  Read more...

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From the reviews: "This comprehensive and up-to-date monograph covers, systematically and in simple language, the theory and applications of ranked set sampling (RSS), an improved technique related Read more...

 
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