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Statistical Models (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 11) 🔍
Anthony Christopher Davison Cambridge, U.K. ; New York: Cambridge University Press, Cambridge University Press, Cambridge, U.K., 2003
英语 [en] · PDF · 36.9MB · 2003 · 📗 未知类型的图书 · 🚀/ia · Save
描述
1 online resource (x, 726 pages) :
Models and likelihood are the backbone of modern statistics. This 2003 book gives an integrated development of these topics that blends theory and practice, intended for advanced undergraduate and graduate students, researchers and practitioners. Its breadth is unrivaled, with sections on survival analysis, missing data, Markov chains, Markov random fields, point processes, graphical models, simulation and Markov chain Monte Carlo, estimating functions, asymptotic approximations, local likelihood and spline regressions as well as on more standard topics such as likelihood and linear and generalized linear models. Each chapter contains a wide range of problems and exercises. Practicals in the S language designed to build computing and data analysis skills, and a library of data sets to accompany the book, are available over the Web
Includes bibliographical references (pages 699-711) and indexes
Variation -- Uncertainty -- Likelihood -- Models -- Stochastic models -- Estimation and hypothesis testing -- Linear regression models -- Designed experiments -- Nonlinear regression models -- Bayesian models -- Conditional and marginal inference
Print version record
备选作者
Davison, A. C. (Anthony Christopher)
备用出版商
Cambridge University Press (Virtual Publishing)
备用出版商
Greenwich Medical Media Ltd
备用版本
Cambridge series in statistical and probabilistic mathematics, Cambridge series on statistical and probabilistic mathematics., Cambridge, U.K, New York, England, 2003
备用版本
Cambridge series in statistical and probabilistic mathematics, 1. pbk. ed., reprint, Cambridge, 2009
备用版本
Cambridge series on statistical and probabilistic mathematics, 11, Cambridge, 2003
备用版本
CAMBRIDGE SERIES IN STATISTICAL AND PROBABILISTIC MATHEMATICS, NEW YORK, Unknown
备用版本
Cambridge series on statistical and probabilistic mathematics, Cambridge, c2003
备用版本
United Kingdom and Ireland, United Kingdom
备用版本
2011
元数据中的注释
Includes bibliographical references (p. 699-711) and indexes.
备用描述
Models and likelihood are the backbone of modern statistics and data analysis. The coverage is unrivaled, with sections on survival analysis, missing data, Markov chains, Markov random fields, point processes, graphical models, simulation and Markov chain Monte Carlo, estimating functions, asymptotic approximations, local likelihood and spline regressions as well as on more standard topics. Anthony Davison blends theory and practice to provide an integrated text for advanced undergraduate and graduate students, researchers and practicioners. Its comprehensive coverage makes this the standard text and reference in the subject.
备用描述
An integrated development of models and likelihood that blends theory and practice, suitable for advanced undergraduate and graduate students, researchers and practitioners. Each chapter of this 2003 book contains a wide range of problems and exercises. A library of data sets accompanying the book is available over the web.
开源日期
2023-06-28
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