Morris H. DeGroot

Mark J. Schervish

Quickly navigate your eTextbook with search

Find it fast

Stay organized

Easily continue access

Probability and Statistics (Classic Version)

A digital version of the text you can personalize and read online or offline.

eTextbook

Probability and Statistics

A digital version of the text you can personalize and read online or offline. If your instructor has invited you to join a specific Pearson eTextbook course for your class, you will need to purchase your eText through the course invite link they provide.

Now available on

<p><cite><strong>Probability &amp; Statistics, 4th Edition</strong></cite> 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.</p><p>This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price.</p>

<!DOCTYPE html>
<html lang="en">
<head></head>
<body>
<h2>Brief Contents</h2>
<div class="c-no-headers-number-list_container">
<ol>
<li>Introduction to Probability</li>
<li>Conditional Probability</li>
<li>Random Variables and Distributions</li>
<li>Expectation</li>
<li>Special Distributions</li>
<li>Large Random Samples</li>
<li>Estimation</li>
<li>Sampling Distributions of Estimators</li>
<li>Testing Hypotheses</li>
<li>Categorical Data and Nonparametric Methods</li>
<li>Linear Statistical Models</li>
<li>Simulation</li>
</ol>
</div>
</body>
</html>

Probability and Statistics (Classic Version), 4th edition

Brief Contents