Statistical Models (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 11) - Softcover
Book 7 of 45: 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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Statistical Models (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 11)
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Statistical Models (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 11)
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Statistical Models (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 11)
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Statistical Models
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Paperback. Condition: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780521734493
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Statistical Models
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