Probability and Statistics （4TH）

Degroot, Morris H./ Schervish, Mark J.

Pearson College Div（2010/12発売）

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製本 Hardcover:ハードカバー版／ページ数 893 p.
言語 ENG
商品コード 9780321500465
DDC分類 519.2

Full Description

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. Calculus is assumed as a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus.?KEY TOPICS: 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?MARKET: For all readers interested in probability and statistics.

1. Introduction to Probability2. Conditional Probability3. Random Variables and Distributions4. Expectation5. Special Distributions6. Large Random Samples7. Estimation8. Sampling Distributions of Estimators9. Testing Hypotheses10. Categorical Data and Nonparametric Methods11. Linear Statistical Models12. Simulation