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„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)
„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)
Finite Population Sampling and Inference
A Prediction Approach
von Richard Valliant, Alan H. Dorfman und Richard M. RoyallComplete 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:
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: