Probability and Statistics

Addison-Wesley, 2002 - Mathematics - 816 pages

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.

What people are saying -Write a review

Review: Probability and Statistics

User Review  - Moon Na - Goodreads

I used this book while attending the introduction to statistical method for economists course in my bachelor, however, just finished it recently. De Groot wrote it in detailed and clear way. Among ... Read full review

Review: Probability and Statistics

I used this book while attending the introduction to statistical method for economists course in my bachelor, however, just finished it recently. De Groot wrote it in detailed and clear way. Among ... Read full review

Contents

 Introduction to Probability 1 Conditional Probability 49
 Random Variables and Distributions 97 Copyright

11 other sections not shown