Probability and Statistics - Couverture rigide

DeGroot, Morris; Schervish, Mark

 
9780321500465: Probability and Statistics

Synopsis

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. ¿ KEY TOPICS: 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 ¿ MARKET: For all readers interested in probability and statistics.

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Présentation de l'éditeur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

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