Zong, Zhi <br/><br/>
Information-theoretic methods for estimating complicated probability distributions / 
by Zhi Zong 
 - 1st ed. 
 - Boston :  Elsevier,  2006. 
 - 299p. :  ill. ;  1 CD-ROM (4 3/4 in.). 
<br/><br/>Includes bibliographical references (p. 289-293) and index. 
<br/><br/>Randomness and probability -- Inference and statistics -- Random numbers and their applications -- Approximation and B-spline function -- Disorder, entropy and entropy estimation --Estimation of 1-D complicated distributions based on large samples -- Estimation of 2-D complicated distributions based on large samples -- Estimation of 1-D complicated distribution based on small samples -- Estimation of 2-D complicated distribution based on small samples --Estimation of the membership function -- Estimation of distributions by use of the maximum entropy method -- Code specifications. 
<br/><br/><label>ISBN: </label>0444527966 9780444527967 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Distribution (Probability theory)<br/>Information theory.<br/>Approximation theory.
<br/><br/><label>Dewey Class. No.: </label>519.24  / ZON