Zong, Zhi. <br/><br/>
Information-theoretic methods for estimating complicated probability distributions  [electronic resource] / 
Zhi Zong. 
 - 1st ed. 
 - Amsterdam :  Elsevier,  2006. 
 - 1 online resource 
 - Mathematics in science and engineering,  v. 207  0076-5392 ; .
<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>9780444527967 9780080463858 (electronic bk.) 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Distribution (Probability theory)<br/>Information theory.<br/>Approximation theory.
<br/><br/><label>LC Class. No.: </label>QA273.6  / .Z66 2006