Introductory statistical inference / Nitis Mukhopadhyay.
This gracefully organized text reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, figures, tables, and computer simulations to develop and illustrate concepts. Drills and boxed summaries emphasize and reinforce important...
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| Online Access: |
Full Text (via Taylor & Francis) |
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| Main Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton :
Chapman & Hall/CRC,
[2006]
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| Series: | Statistics, textbooks and monographs.
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| Subjects: |
Table of Contents:
- 1. Probability and distributions
- 2. Moments and generating functions
- 3. Multivariate random variables
- 4. Sampling distribution
- 5. Notions of convergence
- 6. Sufficiency, completeness, and ancillarity
- 7. Point estimation
- 8. Tests of hypotheses
- 9. Confidence intervals
- 10. Bayesian methods
- 11. Likelihood ratio and other tests
- 12. Large-sample methods
- 13. Abbreviations, historical notes, and tables.