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:
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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:
Imprint | John Wiley & Sons |
Country of origin | United States |
Release date | October 2000 |
Availability | Expected to ship within 12 - 17 working days |
First published | September 2000 |
Authors | R Valliant |
Dimensions | 234 x 156 x 30mm (L x W x T) |
Format | Hardcover |
Pages | 536 |
ISBN-13 | 978-0-471-29341-5 |
Barcode | 9780471293415 |
Categories | |
LSN | 0-471-29341-5 |