|Author:||Morris Degroot, Mark Schervish|
|Binding Type:||Paper Back|
|Main Category:||Science & Mathematics|
|Sub Category:||Mathematics, Statistics|
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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.