Essentials of Statistical Inference: 16 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 16) - Hardcover
Book 10 of 45: Cambridge Series in Statistical and Probabilistic Mathematics
Synopsis
This textbook presents the concepts and results underlying the Bayesian, frequentist, and Fisherian approaches to statistical inference.
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About the Authors
G. A. Young is Professor of Statistics at Imperial College London.
R. L. Smith is Mark L. Reed Distinguished Professor of Statistics at the University of North Carolina, Chapel Hill.
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Essentials Of Statistical Inference (Cambridge Series In Statistical And Probabilistic Mathematics, Series Number 16)
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Essentials of Statistical Inference (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 16)
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ISBN 13: 9780521839716
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Essentials of Statistical Inference (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 16)
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Essentials of Statistical Inference: 16 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 16)
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ISBN 10: 0521839718
ISBN 13: 9780521839716
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Condition: New. This textbook presents the concepts and results underlying the Bayesian, frequentist, and Fisherian approaches to statistical inference. Series Editor(s): Gill, R.; Ripley, Brian D.; Ross, Sheldon M.; Silverman, B.W. (St Peter's College, Oxford); Stein, M. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 236 pages, 92 exercises. BIC Classification: PBT. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 262 x 180 x 20. Weight in Grams: 568. . 2005. Illustrated. hardcover. . . . . Seller Inventory # V9780521839716
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ESSENTIALS OF STATISTICAL INFERENCE
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