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Finite Population Sampling and Inference
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A Prediction Approach
Besorgungstitel - wird vorgemerkt | Lieferzeit: Besorgungstitel - Lieferbar innerhalb von 10 Werktagen I
Artikel-Nr:
9780471293415
Veröffentl:
2000
Erscheinungsdatum:
08.09.2000
Seiten:
536
Autor:
Richard Valliant
Gewicht:
959 g
Format:
240x161x33 mm
Sprache:
Englisch
Beschreibung:
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.
Complete coverage of the prediction approach to survey sampling in a single resourcePrediction 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.
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.
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
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