Chaos: A Statistical Perspective
Chan, Kung-Sik; Tong, Howell
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Description for Chaos: A Statistical Perspective
paperback. Series: Springer Series in Statistics. Num Pages: 316 pages, biography. BIC Classification: PBT; PBWS. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 17. Weight in Grams: 498.
It was none other than Henri Poincare who at the turn of the last century, recognised that initial-value sensitivity is a fundamental source of random ness. For statisticians working within the traditional statistical framework, the task of critically assimilating randomness generated by a purely de terministic system, often known as chaos, is an intellectual challenge. Like some other statisticians, we have taken up this challenge and our curiosity as reporters and participants has led us to investigate beyond the earlier discoveries in the field. Earlier statistical work in the area was mostly con cerned with the estimation of what is ... Read more
It was none other than Henri Poincare who at the turn of the last century, recognised that initial-value sensitivity is a fundamental source of random ness. For statisticians working within the traditional statistical framework, the task of critically assimilating randomness generated by a purely de terministic system, often known as chaos, is an intellectual challenge. Like some other statisticians, we have taken up this challenge and our curiosity as reporters and participants has led us to investigate beyond the earlier discoveries in the field. Earlier statistical work in the area was mostly con cerned with the estimation of what is ... Read more
Product Details
Format
Paperback
Publication date
2010
Publisher
Springer/Sci-Tech/Trade United States
Number of pages
316
Condition
New
Series
Springer Series in Statistics
Number of Pages
300
Place of Publication
New York, NY, United States
ISBN
9781441929365
SKU
V9781441929365
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Chaos: A Statistical Perspective
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 chaos’." "The book fills a ... Read more