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Asymptotic Theory of Statistical Inference for Time Series

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Cover of 'Asymptotic Theory of Statistical Inference for Time Series'

Table of Contents

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    Book Overview
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    Chapter 1 Elements of Stochastic Processes
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    Chapter 2 Local Asymptotic Normality for Stochastic Processes
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    Chapter 3 Asymptotic Theory of Estimation and Testing for Stochastic Processes
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    Chapter 4 Higher Order Asymptotic Theory for Stochastic Processes
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    Chapter 5 Asymptotic Theory for Long-Memory Processes
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    Chapter 6 Statistical Analysis Based on Functionals of Spectra
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    Chapter 7 Discriminant Analysis for Stationary Time Series
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    Chapter 8 Large Deviation Theory and Saddlepoint Approximation for Stochastic Processes
Attention for Chapter 2: Local Asymptotic Normality for Stochastic Processes
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