Theory and methods of statistics
Theory and Methods of Statistics covers essential topics for advanced graduate students and professional research statisticians. This comprehensive resource covers many important areas in one manageable volume, including core subjects such as probability theory, mathematical statistics, and linear m...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
London, UK
Academic Press is an imprint of Elsevier
2016
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| Subjects: | |
| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
Table of Contents:
- Includes bibliographical references and index
- 1. Probability theory
- 2. Some common probability distributions
- 3. Infinite sequences of random variables and their convergence properties
- 4. Basic concepts of statistical inference
- 5. Point estimation in parametric models
- 6. Hypothesis testing
- 7. Methods based on likelihood and their asymptotic properties
- 8. Distribution-free tests for hypothesis testing in nonparametric families
- 9. Curve estimation
- 10. Statistical functionals and their use in robust estimation
- 11. Linear models
- 12. Multivariate analysis
- 13. Time series