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Essential Statistical Inference: Theory and Methods (Springer Texts in Statistics)

Dennis D. Boos, L A Stefanski




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 | #1266770 in Books |  2013-02-06 | Original language:English | PDF # 1 |  9.21 x1.25 x6.14l,2.19 | File type: PDF | 568 pages

||0 of 14 people found the following review helpful.| Five Stars|By Fan Zhang|Accurate description, fast service.| ||"The book is aimed at Ph.D. students in statistics who have already taken some basic graduate level Mathematical Statistics course. It succeeded in being at the perfect level to be beneficial to every statistic student. To the theoretically minded student it

​This book is for students and researchers who have had a first year graduate level mathematical statistics course.  It covers classical likelihood, Bayesian, and permutation inference; an introduction to basic asymptotic distribution theory; and modern topics like M-estimation, the jackknife, and the bootstrap. R code is woven throughout the text, and there are a large number of examples and problems.

An important goal has been to mak...

You easily download any file type for your gadget.Essential Statistical Inference: Theory and Methods (Springer Texts in Statistics)   |  Dennis D. Boos, L A Stefanski. Which are the reasons I like to read books. Great story by a great author.

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