Probability and statistics : models for research / Daniel E. Bailey.

By:

Bailey, Daniel Edgar

Material type: Text

TextPublication details: New York : John Wiley, c1971.Description: xviii, 686p. : ill. ; 23cmISBN:

0471041602

Subject(s):

DDC classification:

519.5 BAI 22nd ed.

LOC classification:

QA273 .B2538

Summary: A study-guide to probability and statistics that includes coverage of course concepts and 897 fully solved problems. 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.

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Holdings
Item type	Current library	Collection	Call number	Status	Barcode
Books	CUoM Library General Stacks	Mathematics/Physics/Chemistry/Biology	519.5 BAI (Browse shelf(Opens below))	Available	00009610

Includes index

A study-guide to probability and statistics that includes coverage of course concepts and 897 fully solved problems. 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.

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