Bailey, Daniel Edgar, <br/><br/>
Probability and statistics :  models for research / 
Daniel E. Bailey. 
 - New York :  John Wiley,  c1971. 
 - xviii, 686p. :  ill. ;  23cm. 
<br/><br/> Includes index 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>0471041602 
<br/><br/><label>LCCN: </label>75130428  
<br/><br/><label>Subjects--Topical Terms: </label><br/>Probabilities.<br/>Mathematical statistics.
<br/><br/><label>LC Class. No.: </label>QA273  / .B2538 
<br/><br/><label>Dewey Class. No.: </label>519.5 BAI