Introduction to Variance Estimation

Kirk M. Wolter - Collection Springer Series In Statistics

427 pages, parution le 31/12/2003

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Résumé

Now available in paperback. The book is organized in a way that emphasizes both the theory and applications of the various variance estimating techniques. Each technique is presented in a separate chapter, and each chapter divided into several main sections. The opening sections deal with the theory and motivation for the particular method of variance estimation. Results are often presented in the form of theorems; proofs are deleted when trivial or when a reference is readily available. The latter sections of each chapter present numerical examples where the particular technique was applied (and perhaps modified) to a real survey. The objectives of this organization format are to provide the student with a firm technical understanding of the methods of variance estimation; to stimulate further research on the various techniques, particularly as they apply to large, complex surveys; and to provide an easy reference for the survey researcher who is faced with the problem of estimating variances for real survey data.

Written for:
Graduate students, researchers

Sommaire

Preface
Introduction
The Method of Random Groups
Variance Estimation Based on Balanced Half-Samples
The Jackknife Method
Generalized Variance Functions
Taylor Series Methods
Variance Estimation for Systematic Sampling
Summary of Methods for Complex Surveys
Appendix A-E
References
Index

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Kirk M. Wolter
Collection	Springer Series In Statistics
Parution	31/12/2003
Nb. de pages	427
Format	15,5 x 23,5
Couverture	Broché
Poids	620g
Intérieur	Noir et Blanc
EAN13	9780387406220
ISBN13	978-0-387-40622-0