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Probability and Statistics

Probability and Statistics
Author: DeGroot - Morris H.; Schervish - Mark J.
ISBN 13: 9780201524888
ISBN 10: 201524880
Edition: N/A
Publisher: Pearson Education
Publication Date: N/A
Format: N/A
Pages: N/A
List Price: N/A

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 & Statistics was 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.