Exploration Of A Nonlinear World: An Appreciation Of Howell Tong's Contributions To Statistics

Exploration Of A Nonlinear World: An Appreciation Of Howell Tong's Contributions To Statistics

In stock
$190.00
Format*
1
SAVE

Buy More Save More!

The more you buy, the more you save

5% OFFBuy 2 items
7% OFFBuy 3 items
10% OFFBuy 4 items
SKU:GC-1804858337
Comes to you in 6-9 business days in most regions.
Final sale — returns are not accepted.
Exploration Of A Nonlinear World: An Appreciation Of Howell Tong's Contributions To Statistics

Exploration Of A Nonlinear World: An Appreciation Of Howell Tong's Contributions To Statistics

$190.00

This festschrift is dedicated to Professor Howell Tong on the occasion of his 65th birthday.

With a Foreword written by Professor Peter Whittle, FRS, it celebrates Tong's path-breaking and tireless contributions to nonlinear time series analysis, chaos and statistics, by reprinting 10 selected papers by him and his collaborators, which are interleaved with 17 original reviews, written by 19 international experts. Through these papers and reviews, readers will have an opportunity to share many of the excitements, retrospectively and prospectively, of the relatively new subject of nonlinear time series.

Tong has played a leading role in laying the foundation of the subject; his innovative and authoritative contributions are reflected in the review articles in the volume, which describe modern and related developments in the subject, including applications in many major fields such as ecology, economics, finance and others. This volume will be useful to researchers and students interested in the theory and practice of nonlinear time series analysis.

Book Details

  • Author: Chan Kung-sik
  • Publisher: World Scientific
  • eBook ISBN: 9789812836281, 9812836284
  • Print ISBN: 9789812836274, 9812836276

Product Details

TypeMathematics & Statistics
SKUGC-1804858337
Tagsebooks, textbooks, mathematics & statistics, Books > Mathematics & Statistics, Mathematics & Statistics

You May Also Like

View all →