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Resampling Methods for Dependent Data

Overview of attention for book
Cover of 'Resampling Methods for Dependent Data'

Table of Contents

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    Book Overview
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    Chapter 1 Scope of Resampling Methods for Dependent Data
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    Chapter 2 Bootstrap Methods
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    Chapter 3 Properties of Block Bootstrap Methods for the Sample Mean
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    Chapter 4 Extensions and Examples
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    Chapter 5 Comparison of Block Bootstrap Methods
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    Chapter 6 Second-Order Properties
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    Chapter 7 Empirical Choice of the Block Size
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    Chapter 8 Model-Based Bootstrap
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    Chapter 9 Frequency Domain Bootstrap
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    Chapter 10 Long-Range Dependence
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    Chapter 11 Bootstrapping Heavy-Tailed Data and Extremes
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    Chapter 12 Resampling Methods for Spatial Data
Attention for Chapter 1: Scope of Resampling Methods for Dependent Data
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