Introductory Statistical Inference with the Likelihood Function, Rohde, Charles A.

Автор: Boos
Название: Essential Statistical Inference
ISBN: 1461448174 ISBN-13(EAN): 9781461448174
Издательство: Springer
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Цена: 15372.00 р.
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Описание: A superb resource on statistical inference for researchers or students, this book has R code throughout, including in sample problems, and an appendix of derived notation and formulae. It covers core topics as well as modern aspects such as M-estimation.

Автор: Gould, William
Название: Maximum likelihood estimation with stata
ISBN: 1597180122 ISBN-13(EAN): 9781597180122
Издательство: Taylor&Francis
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Цена: 8573.00 р.
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Описание: Emphasizing practical implications for applied work, this title provides an overview of maximum likelihood estimation theory and numerical optimization methods. It details the use of Stata to maximize user-written likelihood functions. It is useful for researchers who need to maximize their own likelihood functions.

Автор: Owen
Название: Empirical Likelihood
ISBN: 1584880716 ISBN-13(EAN): 9781584880714
Издательство: Taylor&Francis
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Цена: 20671.00 р.
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Описание: Applies empirical likelihood method to problems ranging from those as simple as setting a confidence region for a univariate mean under IID sampling, to problems defined through smooth functions of means, regression models, generalized linear models, estimating equations, or kernel smooths, and to sampling with non-identically distributed data.

Автор: Paul P. Eggermont; Vincent N. LaRiccia
Название: Maximum Penalized Likelihood Estimation
ISBN: 1461417120 ISBN-13(EAN): 9781461417125
Издательство: Springer
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Цена: 23058.00 р.
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Описание: Ideal for researchers and practitioners in statistics and industrial mathematics, this book covers the theory and practice of nonparametric estimation. It is novel in its use of maximum penalized likelihood estimation and convex minimization problem theory.