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Название: Mathematical Statistics: An Introduction to Likelihood Based Inference
Автор: Richard J. Rossi
Издательство: Wiley
Год: 2018
Формат: PDF
Страниц: 427
Размер: 11 МБ
Язык: English
This book addresses mathematical statistics for upper-undergraduates and first year graduate students, tying chapters on estimation, confidence intervals, hypothesis testing, and statistical models together to present a unifying focus on the likelihood function. It also emphasizes the important ideas in statistical modeling, such as sufficiency, exponential family distributions, and large sample properties. Mathematical Statistics: An Introduction to Likelihood Based Inference makes advanced topics accessible and understandable and covers many topics in more depth than typical mathematical statistics textbooks. It includes numerous examples, case studies, a large number of exercises ranging from drill and skill to extremely difficult problems, and many of the important theorems of mathematical statistics along with their proofs.
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Автор: alexcat 31-07-2018, 17:02 | Напечатать
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Mathematical Statistics: An Introduction to Likelihood Based Inference 
