Nonlinear Semiparametric Methods rar (1584886137)

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Chapman & Hall/CRC, "Nonlinear Time Series: Semiparametric and Nonparametric Methods"

Useful in the theoretical and empirical analysis of nonlinear time series data, semiparametric methods have received extensive attention in the economics and statistics communities over the past twenty years. Recent studies show that semiparametric methods and models may be applied to solve dimensionality reduction problems arising from using fully nonparametric models and methods. Answering the call for an up-to-date overview of the latest developments in the field, Nonlinear Time Series: Semiparametric and Nonparametric Methods focuses on various semiparametric methods in model estimation, specification testing, and selection of time series data. After a brief introduction, the book examines semiparametric estimation and specification methods and then applies these approaches to a class of nonlinear continuous-time models with real-world data. It also assesses some newly proposed semiparametric estimation procedures for time series data with long-range dependence. Even though the book only deals with climatological and financial data, the estimation and specifications methods discussed can be applied to models with real-world data in many disciplines. This resource covers key methods in time series analysis and provides the necessary theoretical details. The latest applied finance and financial econometrics results and applications presented in the book enable researchers and graduate students to keep abreast of developments in the field.

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	Science/Engineering Nonlinear Time Series: Semiparametric and Nonparametric Methods Publisher: CRCLanguage: EnglishISBN: 1584886137Paperback: 237 pagesData: Mar 2007Format: CHMDescription: Useful in the theoretical and empirical analysis of nonlinear time series data, semiparametric methods have received extensive attentio ...
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	Mathematics Nonlinear Time Series: Semiparametric and Nonparametric Methods (Monographs on Statistics and Applied Probability) Author: Jiti GaoPublisher: Chapman & Hall/CRC (2007)Binding: Hardcover, 237 pagespricer: $79.95ISBN-10: 1584886137editorialreviewsUseful in the theoretical and empirical analysis of nonlinear time series data, semiparametric methods hav ...
	Mathematics Life Distributions: Structure of Nonparametric, Semiparametric, and Parametric Families (Springer Series in Statistics) Author: Albert W. Marshall, Ingram OlkinPublisher: Springer (2007)Binding: Hardcover, 788 pagespricer: $89.95ISBN-10: 0387203338editorialreviewsFor over 200 years, practitioners have been developing parametric families of probability distri ...
	Mathematics Applied Nonlinear Time Series Analysis: Applications in Physics, Physiology and Finance (World Scientific Series on Nonlinear Science Series a) Author: Michael SmallPublisher: World Scientific Publishing Company (2005)Binding: Hardcover, 245 pagespricer: $82.00ISBN-10: 981256117XeditorialreviewsNonlinear time series methods have developed rapidly over a quarter of a century and hav ...

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