Basics of Modern Mathematical Statistics

Exercises and Solutions

Business & Finance, Economics, Statistics, Nonfiction, Science & Nature, Mathematics
Cover of the book Basics of Modern Mathematical Statistics by Wolfgang Karl Härdle, Vladimir Spokoiny, Vladimir Panov, Weining Wang, Springer Berlin Heidelberg
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Author: Wolfgang Karl Härdle, Vladimir Spokoiny, Vladimir Panov, Weining Wang ISBN: 9783642368509
Publisher: Springer Berlin Heidelberg Publication: November 8, 2013
Imprint: Springer Language: English
Author: Wolfgang Karl Härdle, Vladimir Spokoiny, Vladimir Panov, Weining Wang
ISBN: 9783642368509
Publisher: Springer Berlin Heidelberg
Publication: November 8, 2013
Imprint: Springer
Language: English

​The complexity of today’s statistical data calls for modern mathematical tools.  Many fields of science make use of mathematical statistics and require continuous updating on statistical technologies. Practice makes perfect,  since mastering the tools makes them applicable.  Our book of exercises and solutions offers a wide range of applications and numerical solutions based on R.
In modern mathematical statistics, the purpose is to provide statistics students with a number of basic exercises and also an understanding of how the theory can be applied to real-world problems.
The application aspect is also quite important, as most previous exercise books are mostly on theoretical derivations. Also we add some problems from topics often encountered in recent research papers.
The book was written for statistics students with one or two years of coursework in mathematical statistics and probability, professors who hold courses in mathematical statistics, and researchers in other fields who would like to do some exercises on math statistics.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

​The complexity of today’s statistical data calls for modern mathematical tools.  Many fields of science make use of mathematical statistics and require continuous updating on statistical technologies. Practice makes perfect,  since mastering the tools makes them applicable.  Our book of exercises and solutions offers a wide range of applications and numerical solutions based on R.
In modern mathematical statistics, the purpose is to provide statistics students with a number of basic exercises and also an understanding of how the theory can be applied to real-world problems.
The application aspect is also quite important, as most previous exercise books are mostly on theoretical derivations. Also we add some problems from topics often encountered in recent research papers.
The book was written for statistics students with one or two years of coursework in mathematical statistics and probability, professors who hold courses in mathematical statistics, and researchers in other fields who would like to do some exercises on math statistics.

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