Statistical Models (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 11) - Hardcover
Book 7 of 46: Cambridge Series in Statistical and Probabilistic Mathematics
Synopsis
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.
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Book Description
Models and likelihood are the backbone of modern statistics and data analysis. Anthony Davison here blends theory and practice to provide an integrated text for advanced undergraduate and graduate students, researchers and practitioners. 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. This combination will ensure that this becomes the standard text and reference in the subject.
About the Author
Anthony Davison is a Professor of Statistics at the Ecole Polytechnique Federale de Lausanne.
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Hardcover. Condition: new. Hardcover. Models and likelihood are the backbone of modern statistics and data analysis. Anthony Davison here blends theory and practice to provide an integrated text for advanced undergraduate and graduate students, researchers and practitioners. The coverage is unrivalled, 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 chapters on more standard topics such as the linear model and Bayesian statistics. Each chapter contains a wide range of exercises. Worked examples, aimed at helping users make the transition from theory to practice, abound. Practicals in the R language for developing computing and data analysis skills are also available, together with a library of data sets. These features will ensure that this becomes the standard text and reference in the subject, for both users of statistics and students. A survey of the methods in modern statistics and data analysis. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780521773393
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Statistical Models: 11 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 11)
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Condition: New. This 2003 book gives an integrated development of models and likelihood that blends theory and practice. Series Editor(s): Gill, R.; Ripley, Brian D.; Ross, S.; Silverman, B.W. (St Peter's College, Oxford); Stein, M. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 738 pages, 119 tables 566 exercises. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 254 x 178 x 40. Weight in Grams: 149. . 2003. Illustrated. hardcover. . . . . Seller Inventory # V9780521773393
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