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Statistical Models (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 11) - Softcover
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.
"About this title" may belong to another edition of this title.
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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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