Statistical Decision Theory Estimation, Testing, and Selection
The third goal is to present, for the first time in a book, a well-rounded theory of optimal selections for parametric families. Friedrich Liese, University of Rostock, and Klaus-J. Miescke, University of Illinois at Chicago, are professors of mathematical statistics who have published numerousresea...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer New York
2008, 2008
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| Edition: | 1st ed. 2008 |
| Series: | Springer Series in Statistics
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Statistical Models
- Tests in Models with Monotonicity Properties
- Statistical Decision Theory
- Comparison of Models, Reduction by
- Invariant Statistical Decision Models
- Large Sample Approximations of Models and Decisions
- Estimation
- Testing
- Selection