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Finite Population Sampling and Inference
A Prediction Approach
Richard Valliant (Author), Alan H. Dorfman (Author), Richard M. Royall (Author)
9780471293415, Wiley
Hardback, published 9 October 2000
536 pages
24.4 x 16.2 x 3 cm, 0.866 kg
"Valliant...is joined...to dispel the perception of dichotomy between mainstream statistics...and survey sampling..." (SciTech Book News, Vol. 24, No. 4, December 2000)
"The vast majority of the book is devoted to prediction of a population mean or total, and as such it forms a cohesive and comprehensive treatment of the subject." (Mathematical Reviews, Issue 2001j)
"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)
Die erste einheitliche Darstellung der Stichprobenauswahl in finiten Populationen mit Hilfe der Vorhersagetheorie! Zur Übung und Vertiefung des Stoffes befindet sich an jedem Kapitelende ein Aufgabenkomplex. Vom zugehörigen ftp-Server können S-Plus-Computerfunktionen und reale Datensätze abgerufen werden. (11/00)
Introduction to Prediction Theory.
Prediction Theory Under the General Linear Model.
Bias-Robustness.
Robustness and Efficiency.
Variance Estimation.
Stratified Populations.
Models with Qualitative Auxiliaries.
Clustered Populations.
Robust Variance Estimation in Two-Stage Cluster Sampling.
Alternative Variance Estimation Methods.
Special Topics and Open Questions.
Appendices.
Bibliography.
Answers to Select Exercises.
Indexes.
Subject Areas: Mathematics [PB]
