Cover Image

Information-theoretic methods for estimating complicated probability distributions /

Show other versions (2)
Bibliographic Details
Main Author: Zong, Zhi (Author)
Format: Software eBook
Language:English
Published: Amsterdam ; Boston : Elsevier, 2006.
Edition:1st ed.
Series:Mathematics in science and engineering ; v. 207.
Subjects:
Distribution (Probability theory)
Information theory.
Approximation theory.
Information Theory
Distribution (Théorie des probabilités)
Théorie de l'information.
Théorie de l'approximation.
distribution (statistics-related concept)
Online Access:Publisher description
Table of 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.