Information-theoretic methods for estimating complicated probability distributions / Zhi Zong.
| Author/creator | Zong, Zhi |
| Format | Electronic |
| Edition | 1st ed. |
| Publication Info | Amsterdam ; Boston : Elsevier, |
| Description | xvii, 299 p. : ill. ; 24 cm. + 1 CD-ROM (4 3/4 in.). |
| Supplemental Content | Full text available from eBook - Mathematics pre-2007 |
| Subjects |
| Series | Mathematics in science and engineering, 0076-5392 ; v. 207 |
| 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 note | Includes bibliographical references (p. 289-293) and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2006049568 |
| ISBN | 0444527966 |
| ISBN | 9780444527967 |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |