Richard L. Valliant, Alan H. Dorfman, Richard M. Royall

Finite Population Sampling and Inference

A Prediction Approach

• Gebundenes Buch

Produktbeschreibung

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)

---

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.

Produktdetails

• Verlag: Wiley & Sons
• Seitenzahl: 536
• Erscheinungstermin: 8. September 2000
• Englisch
• Abmessung: 240mm x 161mm x 33mm
• Gewicht: 872g
• ISBN-13: 9780471293415
• ISBN-10: 0471293415
• Artikelnr.: 22175700

Autorenporträt

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.

Inhaltsangabe

From the contents: 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

Rezensionen

"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)