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Probability and Statistics

Pearson New International Edition

Paperback Engels 2013 9781292025049
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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.

Probability & Statistics, Fourth Edition, was written for a one- or two-semester probability and statistics course. This course is 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.

Specificaties

ISBN13:9781292025049
Taal:Engels
Bindwijze:Paperback

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Inhoudsopgave

<p>1. Introduction to Probability</p> <p>2. Conditional Probability</p> <p>3. Random Variables and Distributions</p> <p>4. Expectation</p> <p>5. Special Distributions</p> <p>6. Large Random Samples</p> <p>7. Estimation</p> <p>8. Sampling Distributions of Estimators</p> <p>9. Testing Hypotheses</p> <p>10. Categorical Data and Nonparametric Methods</p> <p>11. Linear Statistical Models</p>

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€ 102,94
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        Probability and Statistics