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" Observed confidence levels : "
Alan M. Polansky.
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BL
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| Record Number
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954948
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| Doc. No
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b709318
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| Main Entry
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Polansky, Alan M.
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| Title & Author
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Observed confidence levels : : theory and application /\ Alan M. Polansky.
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| Publication Statement
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Boca Raton :: Chapman & Hall/CRC Press,, ©2008.
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| Page. NO
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xvi, 271 pages :: illustrations ;; 25 cm
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| ISBN
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1584888024
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: 9781584888024
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| Bibliographies/Indexes
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Includes bibliographical references (pages 251-262) and indexes.
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| Contents
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1. Introduction -- 2. Single Parameter Problems -- 3. Multiple Parameter Problems -- 4. Linear Models and Regression -- 5. Nonparametric Smoothing Problems -- 6. Further Applications -- 7. Connections and Comparisons -- A. Review of Asymptotic Statistics.
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| Abstract
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"Illustrating a simple, novel method for solving an array of statistical problems, Observed Confidence Levels: Theory and Application describes the basic development of observed confidence levels, a methodology that can be applied to a variety of common multiple testing problems in statistical inference. It focuses on the modern nonparametric framework of bootstrap-based estimates, allowing for substantial theoretical development and for relatively simple solutions to numerous interesting problems." "After an introduction, the book develops the theory and application of observed confidence levels for general scalar parameters, vector parameters, and linear models. It then examines nonparametric problems often associated with smoothing methods, including nonparametric density estimation and regression. The author also describes applications in generalized linear models, classical nonparametric statistics, multivariate analysis, and survival analysis as well as compares the method of observed confidence levels to hypothesis testing, multiple comparisons, and Bayesian posterior probabilities. In addition, the appendix presents some background material on the asymptotic expansion theory used in the book."--Jacket.
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| Subject
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Asymptotic expansions.
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Observed confidence levels (Statistics)
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Analyse de régression.
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Asymptotic expansions.
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Estimation de paramètres.
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| Subject
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Observed confidence levels (Statistics)
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| Dewey Classification
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519.5
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| LC Classification
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QA277.5.P65 2008
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