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Essential Statistical Inference

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Cover of 'Essential Statistical Inference'

Table of Contents

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    Book Overview
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    Chapter 1 Roles of Modeling in Statistical Inference
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    Chapter 2 Likelihood Construction and Estimation
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    Chapter 3 Likelihood-Based Tests and Confidence Regions
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    Chapter 4 Bayesian Inference
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    Chapter 5 Large Sample Theory: The Basics
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    Chapter 6 Large Sample Results for Likelihood-Based Methods
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    Chapter 7 M-Estimation (Estimating Equations)
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    Chapter 8 Hypothesis Tests under Misspecification and Relaxed Assumptions
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    Chapter 9 Monte Carlo Simulation Studies
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    Chapter 10 Jackknife
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    Chapter 11 Bootstrap
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    Chapter 12 Permutation and Rank Tests
Attention for Chapter 11: Bootstrap
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