Probability and Statistics (4th Edition)

DeGroot, Morris H.; Schervish, Mark J.

ISBN 10: 0321500466 / ISBN 13: 9780321500465

Edité par Pearson, 2011

A propos de cet article

Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLY-NO ACCESS CODE, NO CD, Ships with Tracking. N° de réf. du vendeur SKU0057648

Détails bibliographiques

Titre : Probability and Statistics (4th Edition)

Éditeur : Pearson

Date d'édition : 2011

Reliure : Hardcover

Etat : Good

Edition : 4ème Édition

A propos de ce titre

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.

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.