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Wiley Long-Memory Time Series: Theory and Methods Book

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Description

Long-Memory Time Series: Theory and Methods offers a contemporary and self-contained treatment of long-range dependent data analysis. Part of the Wiley Series in Probability and Statistics, this text provides a comprehensive overview of the theory and methods used to address long-range dependence. The book is systematically organized to guide readers from foundational essentials through advanced methodological aspects. It covers estimation methods, asymptotic theory, heteroskedastic models, transformations, Bayesian methods, and prediction. Beyond theory, the text describes how these methodologies are applied to real-life time series and extends these techniques to more complex data structures. This resource is designed for those seeking a deep understanding of both the mathematical foundations and the practical applications of long-memory time series analysis.

Key Features

Provides a self-contained and contemporary treatment of long-range dependent data analysis.

Part of the Wiley Series in Probability and Statistics for academic and professional use.

Covers essential methodological aspects including estimation methods and asymptotic theory.

Includes detailed sections on heteroskedastic models, transformations, and Bayesian methods.

Explains the application of these methodologies to real-life time series data.

Extends advanced techniques to handle more complex data structures.

Product Specifications

Brand
Wiley
Format
hardcover
Domain
Amazon UK
Release Date
05 April 2007
Listed Since
08 December 2006

Barcode

No barcode data available

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