Basics of Modern Mathematical Statistics
Exercises and Solutions
Series: Springer Texts in Statistics;
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22 184 Ft (21 128 Ft + 5% VAT)
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22 184 Ft
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Product details:
- Edition number Softcover reprint of the original 1st ed. 2014
- Publisher Springer Berlin Heidelberg
- Date of Publication 27 September 2016
- Number of Volumes 1 pieces, Previously published in hardcover
- ISBN 9783662523865
- Binding Paperback
- See also 9783642368493
- No. of pages185 pages
- Size 235x155 mm
- Weight 3285 g
- Language English
- Illustrations XXV, 185 p. 123 illus., 81 illus. in color. Illustrations, black & white 0
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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