Morris H. DeGroot,
Mark J. Schervish
Probability and Statistics
E-book Engels 2011 9780321831026
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book.
The revision of this well-respected text 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 assumed as a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus.
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Inhoudsopgave
<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>
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