Probability and Statistics

Probability and Statistics
ISBN-10
0201524880
ISBN-13
9780201524888
Series
Probability and Statistics
Category
Mathematics / Probability & Statistics / General
Pages
816
Language
English
Published
2002
Publisher
Addison-Wesley
Authors
Morris H. DeGroot, Mark J. Schervish

Description

The revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a new chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), expanded coverage of residual analysis in linear models, and more examples using real data. Probability & Statisticswas written for a one or two semester probability and statistics course offered primarily at four-year institutions and taken mostly by sophomore and junior level students, majoring in mathematics or statistics. Calculus is a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus. Introduction to Probability; Conditional Probability; Random Variables and Distribution; Expectation; Special Distributions; Estimation; Sampling Distributions of Estimators; Testing Hypotheses; Categorical Data and Nonparametric Methods; Linear Statistical Models; Simulation For all readers interested in probability and statistics.

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