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Chaos: A Statistical Perspective (Springer Series in Statistics)
Kung-Sik Chan
€ 129.08
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Description for Chaos: A Statistical Perspective (Springer Series in Statistics)
Hardcover. Focuses on the influence of chaos on statistics. This book is suitable for researchers and graduate students in statistics, econometrics, engineering, and probability theory. Series: Springer Series in Statistics. Num Pages: 316 pages, biography. BIC Classification: PBT; PBWS. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 17. Weight in Grams: 456.
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 acquired a distinct statistical flavor.
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 acquired a distinct statistical flavor.
Product Details
Publisher
Springer
Format
Hardback
Publication date
2001
Series
Springer Series in Statistics
Condition
New
Weight
455g
Number of Pages
300
Place of Publication
New York, NY, United States
ISBN
9780387952802
SKU
V9780387952802
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Chaos: A Statistical Perspective (Springer Series in Statistics)
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 statisticians to join in with the fun of ... Read more