Probability and statistics

Addison-Wesley Pub. Co., 1975 - Mathematics - 607 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 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.

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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

User Review  - Bob - Goodreads

Used as textbook by Robert Redinger, Lecturer, Graduate School of Industrial Administration, Carnegie Mellon University for Probability and Statistics course sequence for first year MSIA (MBA) students, 1980-81. Read full review

Contents

 Introduction to Probability 1 Conditional Probability 49
 Random Variables and Distributions 77 Copyright

9 other sections not shown