Basics of Modern Mathematical Statistics
Exercises and Solutions
Series: Springer Texts in Statistics;
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Product details:
- Edition number 2014
- Publisher Springer Berlin Heidelberg
- Date of Publication 20 November 2013
- Number of Volumes 1 pieces, Book
- ISBN 9783642368493
- Binding Hardback
- No. of pages185 pages
- Size 235x155 mm
- Weight 4439 g
- Language English
- Illustrations XXV, 185 p. 123 illus., 81 illus. in color. Illustrations, black & white 220
Categories
Long description:
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.
Table of Contents:
Basics.- Parameter Estimation for an i.i.d. Model.- Parameter Estimation for a Regression Model.- Estimation in Linear Models.- Bayes Estimation.- Testing a Statistical Hypothesis.- Testing in Linear Models.- Some Other Testing Methods.
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