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Dependence in Probability and Statistics

Overview of attention for book
Cover of 'Dependence in Probability and Statistics'

Table of Contents

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    Book Overview
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    Chapter 1 Permutation and bootstrap statistics under infinite variance
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    Chapter 2 Max–Stable Processes: Representations, Ergodic Properties and Statistical Applications
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    Chapter 3 Best attainable rates of convergence for the estimation of the memory parameter
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    Chapter 4 Harmonic analysis tools for statistical inference in the spectral domain
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    Chapter 5 On the impact of the number of vanishing moments on the dependence structures of compound Poisson motion and fractional Brownian motion in multifractal time
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    Chapter 6 Multifractal scenarios for products of geometric Ornstein-Uhlenbeck type processes
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    Chapter 7 A new look at measuring dependence
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    Chapter 8 Robust regression with infinite moving average errors
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    Chapter 9 A note on the monitoring of changes in linear models with dependent errors
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    Chapter 10 Testing for homogeneity of variance in the wavelet domain.
Attention for Chapter 2: Max–Stable Processes: Representations, Ergodic Properties and Statistical Applications
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