Author: Zhi Zong
Edition: 1
Binding: Hardcover
ISBN: 0444527966
Publisher: Elsevier Science
Features:
Edition: 1
Binding: Hardcover
ISBN: 0444527966
Publisher: Elsevier Science
Features:
Information-Theoretic Methods for Estimating of Complicated Probability Distributions, Volume 207 (Mathematics in Science and Engineering)
Mixing up various disciplines frequently produces something that are profound and far-reaching. Search and download computer ebooks Information-Theoretic Methods for Estimating of Complicated Probability Distributions, Volume 207 (Mathematics in Science and Engineering) for free.
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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 methods for estimating complicated probability distributions.
Estimating probability distribution of a random variable is the fundamental task for quite some fields besides statistics, such as reliability, probabilistic risk analysis (PSA), machine learning, pattern recognization, image processing, neural networks and quality control. Simple distribution forms such as Gaussian, exponential or Weibull distributions are often employed to represent the
Information-Theoretic Methods For Estimating Of Complicated Probability Distributions, Volume 207 (Mathematics In Science And Engineering)
New Hardcover.
author zhi zong format hardback language english publication year 15 08 2006 series mathematics in science engineering subject mathematics sciences subject 2 mathematics title information theoretic methods for estimating of complicated probability distributions volume 207 mathematics in science and engineering author zhi zong publisher elsevier science ltd publication date oct 16 2006 pages 299 binding hardcover edition 1 st dimensions 6 00 wx 8 75 hx 0 25 d isbn 0444527966 subject mathematics
Information-Theoretic Methods for Estimating of Complicated Probability Distributions, Volume 207 Free
Simple distribution forms such as Gaussian, exponential or Weibull distributions are often employed to represent the
