An Introduction to Probability and Statistics
3rd Edition
Wiley · Print & ebook · September 8, 2015
A well-balanced introduction to probability theory and mathematical statistics Featuring updated material, An Introduction to Probability and Statistics, Third Edition remains a solid overview to probability theory and mathematical statistics.
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- Who it’s for
- Three parts move from probability foundations through statistical inference to selected special topics.
- Themes
- Probability theory, Mathematical statistics, Statistical inference
- Genres
- Probability & Statistics, Regression Analysis, Bayesian Analysis
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A well-balanced introduction to probability theory and mathematical statistics Featuring updated material, An Introduction to Probability and Statistics, Third Edition remains a solid overview to probability theory and mathematical statistics. Divided intothree parts, the Third Edition begins by presenting the fundamentals and foundationsof probability. The second part addresses statistical inference, and the remainingchapters focus on special topics.
Continue reading
An Introduction to Probability and Statistics, Third Edition includes: - A new section on regression analysis to include multiple regression, logistic regression, and Poisson regression - A reorganized chapter on large sample theory to emphasize the growing role of asymptotic statistics - Additional topical coverage on bootstrapping, estimation procedures, and resampling - Discussions on invariance, ancillary statistics, conjugate prior distributions, and invariant confidence intervals - Over 550 problems and answers to most problems, as well as 350 worked out examples and 200 remarks - Numerous figures to further illustrate examples and proofs throughout An Introduction to Probability and Statistics, Third Edition is an ideal reference and resource for scientists and engineers in the fields of statistics, mathematics, physics, industrial management, and engineering. The book is also an excellent text for upper-undergraduate and graduate-level students majoring in probability and statistics.
Probability and Inference
Three parts move from probability foundations through statistical inference to selected special topics.
Come here for
- A new section on regression analysis
- Coverage of bootstrapping
Expect
- 350 worked examples
- Over 550 problems, with answers to most
Where it sits
| Probability & Statistics | 99% |
|---|---|
| Regression Analysis | 63% |
| Bayesian Analysis | 41% |
Percentages are BookFrontier’s reading of the book.
Publisher categories
- Probability & Statistics
- Regression Analysis
- Engineering
- Authors
- Vijay K. Rohatgi, A. K. Md. Ehsanes Saleh
- Publisher
- Wiley
- Published
- September 8, 2015
- Format
- Print & ebook
- Theme
- Probability theory · Mathematical statistics · Statistical inference
- Reading lane
- Probability & Statistics