Information-theoretic methods for estimating complicated probability distributions / by Zhi Zong
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- 0444527966
- 9780444527967
- 519.24 ZON
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Dept. of Futures Studies General Stacks | Dept. of Futures Studies | Non-fiction | 519.24 ZON (Browse shelf(Opens below)) | Available | DFS4465 | ||
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Dept. of Statistics Processing Center | Dept. of Statistics | 519.24 ZON (Browse shelf(Opens below)) | Available | STA10402 |
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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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