Finite Population Sampling and Inference: A Prediction Approach: 321 - Rilegato

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

 
9780471293415: Finite Population Sampling and Inference: A Prediction Approach: 321
Rilegato
ISBN 10: 0471293415 ISBN 13: 9780471293415
Casa editrice: Wiley-Interscience, 2000

Sinossi

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

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

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.

Dalla quarta di copertina

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

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Wiley-Interscience
Data di pubblicazione
2000
Lingua
Inglese
ISBN 10 
0471293415
ISBN 13 
9780471293415
Rilegatura
Copertina rigida
Numero edizione
1
Numero di pagine
504
Contatto del produttore
non disponibile
Persona responsabile
non disponibile