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Information-theoretic methods for estimating complicated probability distributions / by Zhi Zong

By: Material type: TextTextPublication details: Boston : Elsevier, 2006.Edition: 1st edDescription: 299p. : ill. ; 1 CD-ROM (4 3/4 in.)ISBN:
  • 0444527966
  • 9780444527967
Subject(s): DDC classification:
  • 519.24 ZON
Online 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.
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Holdings
Item type Current library Home library Collection Call number Status Date due Barcode
Book Book Dept. of Futures Studies General Stacks Dept. of Futures Studies Non-fiction 519.24 ZON (Browse shelf(Opens below)) Available DFS4465
Book Book Dept. of Statistics Processing Center Dept. of Statistics 519.24 ZON (Browse shelf(Opens below)) Available STA10402

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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