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This book presents the role of likelihood in a whole range of statistical problems, from a simple comparison of two accident rates to complex studies requiring generalized linear or semiparametric modeling. The book emphasizes that the likelihood is not simply a device to produce an estimate, but more importantly it is a tool for modeling.
The book generally takes an informal approach, where most important results are established using heuristic arguments and motivated with realistic examples. With currently available computing power, examples are not contrived to allow a closed analytical solution, and the book concentrates on the statistical aspects of the data modelling. In addition to classical likelihood theory, the book covers many modern topics such as generalized linear models, generalized linear mixed models, nonparametric smoothing, robustness, EM algorithm and empirical likelihood.
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Subjects
Mathematical statistics, ProbabilitiesEdition | Availability |
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1
In All Likelihood: Statistical Modelling and Inference Using Likelihood
2013, Oxford University Press
in English
0199671222 9780199671229
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2 |
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3
In All Likelihood: Statistical Modelling and Inference Using Likelihood
2001, Oxford University Press, Incorporated
in English
1299956319 9781299956315
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4
In All Likelihood: Statistical Modelling and Inference Using Likelihood
2001, Oxford University Press
in English
0191650579 9780191650574
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5
In All Likelihood: Statistical Modelling and Inference Using Likelihood
2001, Clarendon Press
Hardcover
in English
0198507658 9780198507659
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- Created January 17, 2023
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