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A Graduate Course on Statistical Inference

Overview of attention for book
Cover of 'A Graduate Course on Statistical Inference'

Table of Contents

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    Book Overview
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    Chapter 1 Probability and Random Variables
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    Chapter 2 Classical Theory of Estimation
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    Chapter 3 Testing Hypotheses for a Single Parameter
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    Chapter 4 Testing Hypotheses in the Presence of Nuisance Parameters
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    Chapter 5 Basic Ideas of Bayesian Methods
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    Chapter 6 Bayesian Inference
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    Chapter 7 Asymptotic tools and projections
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    Chapter 8 Asymptotic theory for Maximum Likelihood Estimation
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    Chapter 9 Estimating equations
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    Chapter 10 Convolution Theorem and Asymptotic Efficiency
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    Chapter 11 Asymptotic Hypothesis Test
Attention for Chapter 1: Probability and Random Variables
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