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Stochastic Models for Time Series

Overview of attention for book
Stochastic Models for Time Series
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Independence
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    Chapter 2 Gaussian Convergence and Inequalities
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    Chapter 3 Estimation Concepts
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    Chapter 4 Stationarity
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    Chapter 5 Gaussian Chaos
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    Chapter 6 Linear Processes
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    Chapter 7 Non-linear Processes
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    Chapter 8 Associated Processes
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    Chapter 9 Dependence
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    Chapter 10 Long-Range Dependence
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    Chapter 11 Short-Range Dependence
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    Chapter 12 Moments and Cumulants
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    Chapter 13 Erratum to: Non-linear Processes
Attention for Chapter 12: Moments and Cumulants
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