An Introduction to Probability and Statistics

<p><b>A well-balanced introduction to probability theory and mathematical statistics</b></p> <p>Featuring updated material, <i>An Introduction to Probability and Statistics, Third Edition </i>remains a solid overview to probability theory and mathematical statistics. Divided intothree parts, the <i>Third Edition </i>begins by presenting the fundamentals and foundationsof probability. The second part addresses statistical inference, and the remainingchapters focus on special topics.</p> <p><i>An Introduction to Probability and Statistics, Third Edition </i>includes:</p> <ul> <li>A new section on regression analysis to include multiple regression, logistic regression, and Poisson regression</li> <li>A reorganized chapter on large sample theory to emphasize the growing role of asymptotic statistics</li> <li>Additional topical coverage on bootstrapping, estimation procedures, and resampling</li> <li>Discussions on invariance, ancillary statistics, conjugate prior distributions, and invariant confidence intervals</li> <li>Over 550 problems and answers to most problems, as well as 350 worked out examples and 200 remarks</li> <li>Numerous figures to further illustrate examples and proofs throughout</li> </ul> <p><i>An Introduction to Probability and Statistics, Third Edition </i>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.</p>