書誌事項

Probability and statistics

Morris H. DeGroot, Mark J. Schervish

(Pearson modern classic)

Pearson, c2019

4th ed

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注記

Includes bibliographical references (p. 879-883) and index

内容説明・目次

内容説明

Probability & Statistics, 4th Edition is a revision of the well-respected text. It 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. Calculus is a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus. This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price.

目次

Brief Contents Introduction to Probability Conditional Probability Random Variables and Distributions Expectation Special Distributions Large Random Samples Estimation Sampling Distributions of Estimators Testing Hypotheses Categorical Data and Nonparametric Methods Linear Statistical Models Simulation

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