Overview
Complete coverage of the prediction approach to survey sampling in a single resource Prediction theory has been extremely influential in survey sampling for nearly three decades, yet research findings on this model-based approach are scattered in disparate areas of the statistical literature. Finite Population Sampling and Inference: A Prediction Approach presents for the first time a unified treatment of sample design and estimation for finite populations from a prediction point of view, providing readers with access to a wealth of theoretical results, including many new results and, a variety of practical applications. Geared to theoretical statisticians and practitioners alike, the book discusses all topics from the ground up and clearly explains the relation of the prediction approach to the traditional design-based randomization approach. Key features include: * Special emphasis on linking survey sampling to mainstream statistics through extensive use of general linear models * A liberal use of simulation studies, numerical examples, and exercises illustrating theoretical results * Numerous statistical graphics showing simulation results and properties of estimates * A library of S-Plus computer functions plus six real populations, available via ftp * Over 260 references to finite population sampling, linear models, and other relevant literature
Full Product Details
Author: Richard Valliant (Westat, Inc.) ,
Alan H. Dorfman (Bureau of Labor Statistics, Washington, D.C.) ,
Richard M. Royall (Johns Hopkins University)
Publisher: John Wiley & Sons Inc
Imprint: Wiley-Interscience
Dimensions:
Width: 16.20cm
, Height: 3.00cm
, Length: 24.50cm
Weight: 0.866kg
ISBN: 9780471293415
ISBN 10: 0471293415
Pages: 536
Publication Date: 09 October 2000
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Hardback
Publisher's Status: Active
Availability: Out of stock
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.
Reviews
Valliant...is joined...to dispel the perception of dichotomy between mainstream statistics...and survey sampling... (SciTech Book News, Vol. 24, No. 4, December 2000) A highly recommended book which is an essential read for all research workers in this area. (Short Book Reviews - Publication of the Int. Statistical Institute, December 2001) This book is a welcome addition to the subject of survey sampling. (Zentralblatt MATH, Vol. 964, 2001/14)
Valliant...is joined...to dispel the perception of dichotomy between mainstream statistics...and survey sampling... (SciTech Book News, Vol. 24, No. 4, December 2000) A highly recommended book which is an essential read for all research workers in this area. (Short Book Reviews -- Publication of the Int. Statistical Institute, December 2001) This book is a welcome addition to the subject of survey sampling. (Zentralblatt MATH, Vol. 964, 2001/14)
Valliant...is joined...to dispel the perception of dichotomy between mainstream statistics...and survey sampling... (SciTech Book News, Vol. 24, No. 4, December 2000) A highly recommended book which is an essential read for all research workers in this area. (Short Book Reviews - Publication of the Int. Statistical Institute, December 2001) This book is a welcome addition to the subject of survey sampling. (Zentralblatt MATH, Vol. 964, 2001/14)
Author Information
RICHARD VALLIANT, PhD, is Associate Director at Westat, Rockville, Maryland. ALAN H. DORFMAN, PhD, is Senior Mathematical Statistician for the Bureau of Labor Statistics, Washington, D.C. RICHARD M. ROYALL, PhD, is Professor of Biostatistics, Johns Hopkins University, Baltimore, Maryland.
