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Introduction to variance estimation

By: Wolter, Kirk M.
Material type: materialTypeLabelBookSeries: Statistics for social and behavioral sciences. Publisher: New York Springer Science+Business Media 2007Edition: 2nd ed.Description: xiv, 447 p. : ill. ; 25 cm.ISBN: 9780387329178.Subject(s): Analysis of variance | Estimation theoryDDC classification: 519.538 Summary: This second edition reflects shifts in the theory and practice of sample surveys that have occurred since the content of the first edition solidified in the early 1980's. Additional replication type methods appeared during this period and have featured prominently in journal publications. Reflecting these developments, the second edition now includes a new major chapter on the bootstrap method of variance estimation. This edition also includes extensive new material on Taylor series methods, especially as they apply to newer methods of analysis such as logistic regression or the generalized regression estimator. An introductory section on survey weighting has been added. Sections on Hadamard matrices and computer software have been substantially scaled back. Fresh material on these topics is now readily available on the Internet or from commercial sources.
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Slot 1428 (0 Floor, East Wing) 519.538 W6I6 (Browse shelf) Available 173753

This second edition reflects shifts in the theory and practice of sample surveys that have occurred since the content of the first edition solidified in the early 1980's. Additional replication type methods appeared during this period and have featured prominently in journal publications. Reflecting these developments, the second edition now includes a new major chapter on the bootstrap method of variance estimation. This edition also includes extensive new material on Taylor series methods, especially as they apply to newer methods of analysis such as logistic regression or the generalized regression estimator. An introductory section on survey weighting has been added. Sections on Hadamard matrices and computer software have been substantially scaled back. Fresh material on these topics is now readily available on the Internet or from commercial sources.

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