Theory of Statistics /
The aim of this graduate textbook is to provide a comprehensive advanced course in the theory of statistics covering those topics in estimation, testing, and large sample theory which a graduate student might typically need to learn as preparation for work on a Ph. D. An important strength of this b...
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY :
Springer New York,
1995.
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| Series: | Springer series in statistics.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | The aim of this graduate textbook is to provide a comprehensive advanced course in the theory of statistics covering those topics in estimation, testing, and large sample theory which a graduate student might typically need to learn as preparation for work on a Ph. D. An important strength of this book is that it provides a mathematically rigorous and even-handed account of both Classical and Bayesian inference in order to give readers a broad perspective. For example, the "uniformly most powerful" approach to testing is contrasted with available decision-theoretic approaches. |
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| Item Description: | Electronic resource. |
| Physical Description: | 1 online resource (xvi, 724 pages 20 illustrations) |
| ISBN: | 9781461242505 (electronic bk.) 1461242509 (electronic bk.) |
| ISSN: | 0172-7397 |