Probability and Statistics (Classic Version), 4th edition
- Morris H. DeGroot
- , Mark J. Schervish
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Probability & Statistics, 4th Edition is a revision of the well-respected text. It 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 a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus.
This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price.
Published by Pearson (July 1st 2022) - Copyright © 2023
ISBN-13: 9780137981694
Subject: Advanced Statistics
Category: Probability & Statistics
Brief Contents
- 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
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