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Probability and Statistics
by Morris H. Degroot and Mark J. Schervish


Overview - 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.  Read more...

 
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More About Probability and Statistics by Morris H. Degroot; Mark J. Schervish
 
 
 
Overview
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.


 
Details
  • ISBN-13: 9780321500465
  • ISBN-10: 0321500466
  • Publisher: Addison Wesley Longman
  • Publish Date: December 2010
  • Page Count: 893


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Books > Mathematics > Probability & Statistics - General

 
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