DIGIRENT - Chaos: A Statistical Perspective (Springer Series in Statistics)
Kung-Sik Chan, Howell Tong
[PDF.cc25] DIGIRENT - Chaos: A Statistical Perspective (Springer Series in Statistics) Rating: 3.88 (725 Votes)
Chaos: A Statistical Perspective Kung-Sik Chan, Howell Tong epub Chaos: A Statistical Perspective Kung-Sik Chan, Howell Tong pdf download Chaos: A Statistical Perspective Kung-Sik Chan, Howell Tong pdf file Chaos: A Statistical Perspective Kung-Sik Chan, Howell Tong audiobook Chaos: A Statistical Perspective Kung-Sik Chan, Howell Tong book review Chaos: A Statistical Perspective Kung-Sik Chan, Howell Tong summary | #4510028 in Books | 2001-08-09 | Original language:English | PDF # 1 | 9.21 x.68 x6.14l,1.00 | File type: PDF | 300 pages||10 of 10 people found the following review helpful.| First statistics book on chaos|By Abstract Space|This book comes out with much anticipation from two of the world-renowned experts on nonlinear time series. Indeed, the once superhot chaos theory (cf The Theory of Chaotic Attractors) in physics and math in the 80s was only introduced to statistics by Howell Tong in his 1990 book on Non-Linear Time Series: A Dynamical System A|||From the reviews: |SHORT BOOK REVIEWS |"The authors have done an excellent job, providing an overview of known results with detailed references to the literature, as well as pointing out some open problems. In general, the book serves to ‘encourage more
This book discusses dynamical systems that are typically driven by stochastic dynamic noise. It is written by two statisticians essentially for the statistically inclined readers. It covers many of the contributions made by the statisticians in the past twenty years or so towards our understanding of estimation, the Lyapunov-like index, the nonparametric regression, and many others, many of which are motivated by their dynamical system counterparts but have now acquir...
You easily download any file type for your gadget.Chaos: A Statistical Perspective (Springer Series in Statistics) | Kung-Sik Chan, Howell Tong. A good, fresh read, highly recommended.
