A large number of papers have appeared in the last twenty years on estimating and predicting characteristics of finite populations. This monograph is designed to present this modern theory in a systematic and consistent manner. The authors' approach is that of superpopulation models in which values of the population elements are considered as random variables having joint distributions. Throughout, the emphasis is on the analysis of data rather than on the design of samples. Topics covered optimal predictors for various superpopulation models, Bayes, minimax, and maximum likelihood predictors, classical and Bayesian prediction intervals, model robustness, and models with measurement errors. Each chapter contains numerous examples, and exercises which extend and illustrate the themes in the text. As a result, this book will be ideal for all those research workers seeking an up-to-date and well-referenced introduction to the subject.
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Gr.-8°. XI, 207 Pages. Publishers: Springer Verlag (1992). XI, 207 Pages. Original Hardcover-Volume. Library-Sticker on the Spine. Library-Stamp [dropped out] on Front-Endpaper. No Markings in the Text! No Underlinings! No handwritten Owner-Notation! Cover only with small Signs of Usage. ('Springer Series in Statistics'). Seller Inventory # 27960BB
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Condition: very good. Berlin & New York: Springer-Verlag, 1992. Hardbound. xi. 207 pp. Index. (Springer Series in Statistics) Condition : fine. Condition : very good copy. ISBN 9783540977858. Keywords : , statistics. Seller Inventory # 119326
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