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Cover image for Mathematical statistics
Title:
Mathematical statistics
Author:
Knight, Keith.
ISBN:
9781584881780

9781584888567

9780367805319
Publication Information:
Boca Raton : Chapman & Hall/CRC Press, ©2000.
Physical Description:
1 online resource (481 pages) : illustrations.
Series:
Texts in statistical science series
Contents:
1. Introduction to Probability -- 2. Random vectors and joint distributions -- 3. Convergence of Random Variables -- 4. Principles of Point Estimation -- 5. Likelihood-Based Estimation -- 6. Optimality in Estimation -- 7. Interval Estimation and Hypothesis Testing -- 8. Linear and Generalized Linear Models -- 9. Goodness-of-Fit.
Abstract:
"Traditional texts in mathematical statistics can seem - to some readers - heavily weighted with optimality theory of the various flavours developed in the 1940s and 1950s, and not particularly relevant to statistical practice. Mathematical Statistics stands apart from these treatments. While mathematically rigorous, its focus is on providing a set of useful tools that allow readers to understand the theoretical underpinnings of statistical methodology. The result is a balanced, practical text ideally suited for senior or graduate level studies in statistical theory."--BOOK JACKET.
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E-Book 547546-1001 QA276 .K565 2000
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