Introductory statistical inference / Nitis Mukhopadhyay.
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| 出版: |
Boca Raton :
Chapman & Hall/CRC,
2006.
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| 在线阅读: | |
| 主要作者: | |
| 丛编: | Statistics, textbooks and monographs ;
v. 187 |
| 主题: | |
| 格式: | 图书 |
| 总结: | "Beginning with a review of the basic concepts and methods in probability theory, moments, and moment generating functions, the author moves to more intricate topics. Introductory Statistical Inference studies multivariate random variables, exponential families of distributions, and standard probability inequalities. It develops the Helmert transformation for normal distributions, introduces the notions of convergence, and spotlights the central limit theorems. Coverage highlights sampling distributions, Basu's Theorem, Rao-Blackwellization, and the Cramer-Rao Inequality. The text also provides in-depth coverage of Lehmann-Scheffe Theorems, describes Bayesian methods and the Bayes estimator, and develops large-sample inference. The author provides a historical context for statistics and statistical discoveries and answers to a majority of the end-of-chapter exercises." "Designed primarily for a one-semester, first-year graduate course in probability and statistical inference, this text serves students from varied backgrounds and graduate programs, ranging from engineering, economics, agriculture, and bioscience to finance, financial mathematics, operations and information management, and psychology. The text may also be used for its intended audience in a one-year sequence."--BOOK JACKET. |
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| 实物描述: | xviii, 280 p. : ill. ; 25 cm. |
| 提示: | Bib#: 1130112 |
| 参考书目: | Includes bibliographical references (p. [255]-260) and indexes. |
| 语言: | English |
| ISBN: | 9781574446135 (hbk.) 1574446134 (hbk. : acid-free paper) |
| Bib#: | 1130112 |
