Information-theoretic methods for estimating complicated probability distributions
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 ; .
Includes bibliographical references (p. 289-293) and index.
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.
9780444527967 9780080463858 (electronic bk.)
Distribution (Probability theory)
Information theory.
Approximation theory.
QA273.6 / .Z66 2006