Essentials of statistical inference
Aimed at advanced undergraduate and graduate students in mathematics and related disciplines, this book presents the concepts and results underlying the Bayesian, frequentist and Fisherian approaches, with particular emphasis on the contrasts between them. Computational ideas are explained, as well...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
2005
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| Series: | Cambridge series on statistical and probabilistic mathematics
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| Subjects: | |
| Online Access: | |
| Collection: | Cambridge Books Online - Collection details see MPG.ReNa |
Table of Contents:
- Decision theory
- Beyesian methods
- Hypothesis testing
- Special models
- Sufficiency and completeness
- Two-sided tests and conditional inference
- Likelihood theory
- Higher-order theory
- Predictive inference
- Bootstrap methods