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The 20 best probability and statistics books recommended by Alexis Ohanian, Will Kurt, Kirk Borne, Daryl Morey, Ray Hilborn, Noel Cressie and others.
The revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), coverage of residual analysis in linear models, and many examples using real data.
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
Concise explanations of all course fundamentals. Information on conditional probability andindependence, random variables, binominal and normal distributions, sampling distributions, and analysis of variance. Fully compatible with your classroom text, Schaum's highlights all the important facts you need to know.
Statistics 110: Probability. A free online version of the second edition of the book based on Stat 110, Introduction to Probability by Joe Blitzstein and Jessica Hwang, is now available at http://probabilitybook.net. Print copies are available via CRC Press, Amazon, and elsewhere.
Probability and Statistics: The Vegas Way: Unique, Easily Understood, Conversational Style for Students, Gamblers and Others Not Mathematically Inclined. Online shopping from a great selection at Books Store.
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.