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Information-theoretic methods for estimating complicated probability distributions [electronic resource] / Zhi Zong.

By: Zong, Zhi.
Material type: materialTypeLabelBookSeries: Mathematics in science and engineering, v. 207.Publisher: Amsterdam : Elsevier, 2006Edition: 1st ed.Description: 1 online resource.Content type: text Media type: unmediated Carrier type: volumeISBN: 9780444527967; 9780080463858 (electronic bk.).Call No.: QA273.6 .Z66 2006 Subject(s): Distribution (Probability theory) | Information theory | Approximation theoryOnline resources: Electronic Resources
Contents:
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.
Bibliography, etc. Note: Includes bibliographical references (p. 289-293) and index.
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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.

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