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Oxford University Press Oxford Non-linear Time Series: A Dynamical System Approach

Name: Oxford Non-linear Time Series: A Dynamical System Approach
Brand: Oxford University Press
Price: 127.14 GBP
Availability: InStock

Applied Mathematics

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Description

Explore the rapidly developing field of non-linear time series through this academic text from Oxford University Press. While linear time series theory is well-established, this book provides a necessary introduction to the modern developments and current state of research in non-linear analysis. This volume connects statistical research with the study of dynamical systems. Professor Tong explains how advances in dynamical systems theory have driven progress in this field. Readers will learn about the fundamental concepts of dynamical systems theory and how they apply to the analysis of complex data sets. As part of the Oxford Statistical Science Series, this book serves as an essential resource for those studying applied mathematics and statistical science. It bridges the gap between traditional linear methods and the emerging complexities of non-linear temporal data, making it a valuable addition to any scientific library.

Key Features

Provides an introduction to the current state of research in non-linear time series developments.

Connects statistical research with fundamental concepts from dynamical systems theory.

Part of the prestigious Oxford Statistical Science Series from Oxford University Press.

Covers the transition from well-established linear theory to modern non-linear subjects.

Written by Professor Tong to explain how dynamical systems motivate mathematical advances.

Product Specifications

Brand: Oxford University Press
Format: paperback
ASIN: 0198523009
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Applied Mathematics
Domain: Amazon UK
Release Date: 08 July 1993
Listed Since: 06 February 2007

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Oxford University Press Oxford Non-linear Time Series: A Dynamical System Approach

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