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Book Cover
E-book
Author Gao, Jiti

Title Nonlinear Time Series : Semiparametric and Nonparametric Methods
Published Hoboken : Taylor & Francis Ltd., 2007

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Description 1 online resource (249 pages)
Series Monographs on Statistics and Applied Probability 108
Monographs on Statistics and Applied Probability 108
Contents Cover; Title; Copyright; Contents; Preface; CHAPTER 1: Introduction; CHAPTER 2: Estimation in Nonlinear Time Series; CHAPTER 3: Nonlinear Time Series Specification; CHAPTER 4: Model Selection in Nonlinear Time Series; CHAPTER 5: Continuous-Time Diffusion Models; CHAPTER 6: Long-Range Dependent Time Series; CHAPTER 7: Appendix; References; Author Index; Subject Index
Summary Studies show that semiparametric methods and models may be applied to solve dimensionality reduction problems arising from using fully nonparametric models and methods. This book examines semiparametric estimation and specification methods and then applies these approaches to a class of nonlinear continuous-time models with real-world data
Notes Print version record
Subject Nonlinear theories.
Time-series analysis.
Nonlinear theories
Time-series analysis
Form Electronic book
ISBN 9781420011210
1420011219