Full Product Details
Author: Randal Douc (Telecom SudParis, Evry, France) ,
Eric Moulines (Telecom ParisTech, Paris, France) ,
David Stoffer (University of Pittsburgh, Pennsylvania, USA)
Publisher: Taylor & Francis Inc
Imprint: CRC Press Inc
Volume: 107
Dimensions:
Width: 15.60cm
, Height: 3.60cm
, Length: 23.40cm
Weight: 1.180kg
ISBN: 9781466502253
ISBN 10: 1466502258
Pages: 552
Publication Date: 06 January 2014
Audience:
College/higher education
,
General/trade
,
Tertiary & Higher Education
,
General
Format: Hardback
Publisher's Status: Active
Availability: In Print
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Reviews
This book focuses on theory and methods, with applications in mind. It is quite theory-heavy, with many rigorously established theoretical results. ...It is also very timely and covers many recent developments in nonlinear time series analysis... readers can get a very up-to-date view of the current developments in nonlinear time series analysis from this book. -Journal of the American Statistical Association, December 2014 ... the book will definitely help readers who are very mathematically inclined and keen on rigour and interested in further pursuing the probabilistic aspects of nonlinear time series. I have no doubt the book will be useful and timely, and I have no hesitation in recommending the book ... . -T. Subba Rao, Journal of Time Series Analysis, 2014
"""This book is very suitable for mathematicians requiring a very rigorous and complete introduction to nonlinear time series and their applications in several fields."" —Zentralblatt MATH 1306 ""This book focuses on theory and methods, with applications in mind. It is quite theory-heavy, with many rigorously established theoretical results.… It is also very timely and covers many recent developments in nonlinear time series analysis… readers can get a very up-to-date view of the current developments in nonlinear time series analysis from this book."" —Journal of the American Statistical Association, December 2014 ""… the book will definitely help readers who are very mathematically inclined and keen on rigour and interested in further pursuing the probabilistic aspects of nonlinear time series. I have no doubt the book will be useful and timely, and I have no hesitation in recommending the book … ."" —T. Subba Rao, Journal of Time Series Analysis, 2014 ""This book is very suitable for mathematicians requiring a very rigorous and complete introduction to nonlinear time series and their applications in several fields."" —Zentralblatt MATH 1306 ""This book focuses on theory and methods, with applications in mind. It is quite theory-heavy, with many rigorously established theoretical results. …It is also very timely and covers many recent developments in nonlinear time series analysis… readers can get a very up-to-date view of the current developments in nonlinear time series analysis from this book."" —Journal of the American Statistical Association, December 2014 ""… the book will definitely help readers who are very mathematically inclined and keen on rigour and interested in further pursuing the probabilistic aspects of nonlinear time series. I have no doubt the book will be useful and timely, and I have no hesitation in recommending the book … ."" —T. Subba Rao, Journal of Time Series Analysis, 2014"
... the book will definitely help readers who are very mathematically inclined and keen on rigour and interested in further pursuing the probabilistic aspects of nonlinear time series. I have no doubt the book will be useful and timely, and I have no hesitation in recommending the book ... . -T. Subba Rao, Journal of Time Series Analysis, 2014
This book is very suitable for mathematicians requiring a very rigorous and complete introduction to nonlinear time series and their applications in several fields. -Zentralblatt MATH 1306 This book focuses on theory and methods, with applications in mind. It is quite theory-heavy, with many rigorously established theoretical results. ...It is also very timely and covers many recent developments in nonlinear time series analysis... readers can get a very up-to-date view of the current developments in nonlinear time series analysis from this book. -Journal of the American Statistical Association, December 2014 ... the book will definitely help readers who are very mathematically inclined and keen on rigour and interested in further pursuing the probabilistic aspects of nonlinear time series. I have no doubt the book will be useful and timely, and I have no hesitation in recommending the book ... . -T. Subba Rao, Journal of Time Series Analysis, 2014
Author Information
Randal Douc, Eric Moulines, David Stoffer
