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Large Sample Techniques for Statistics

Overview of attention for book
Cover of 'Large Sample Techniques for Statistics'

Table of Contents

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    Book Overview
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    Chapter 1 The 𝜖 - δ Arguments
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    Chapter 2 Modes of Convergence
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    Chapter 3 Big O , Small o , and the Unspecified c
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    Chapter 4 Asymptotic Expansions
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    Chapter 5 Inequalities
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    Chapter 6 Sums of Independent Random Variables
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    Chapter 7 Empirical Processes
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    Chapter 8 Martingales
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    Chapter 9 Time and Spatial Series
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    Chapter 10 Stochastic Processes
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    Chapter 11 Nonparametric Statistics
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    Chapter 12 Mixed Effects Models
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    Chapter 13 Small-Area Estimation
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    Chapter 14 Jackknife and Bootstrap
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    Chapter 15 Markov-Chain Monte Carlo
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    Chapter 16 Random Matrix Theory
Attention for Chapter 10: Stochastic Processes
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