Information-theoretic methods for estimating complicated probability distributions /

Mixing up various disciplines frequently produces something that are profound and far-reaching. Cybernetics is such an often-quoted example. Mix of information theory, statistics and computing technology proves to be very useful, which leads to the recent development of information-theory based meth...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Zong, Zhi
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; Boston : Elsevier, 2006.
Edición:1st ed.
Colección:Mathematics in science and engineering ; v. 207.
Temas:
Distribution (Probability theory)
Information theory.
Approximation theory.
Information Theory
Distribution (Th�eorie des probabilit�es)
Th�eorie de l'information.
Th�eorie de l'approximation.
distribution (statistics-related concept)
MATHEMATICS > Probability & Statistics > General.
Approximation theory
Information theory
Acceso en línea:Texto completo
Texto completo
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Tabla de Contenidos:
  • 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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