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Testing Statistical Hypotheses

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Cover of 'Testing Statistical Hypotheses'

Table of Contents

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    Book Overview
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    Chapter 1 The General Decision Problem
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    Chapter 2 The Probability Background
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    Chapter 3 Uniformly Most Powerful Tests
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    Chapter 4 Unbiasedness: Theory and First Applications
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    Chapter 5 Unbiasedness: Applications to Normal Distributions; Confidence Intervals
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    Chapter 6 Invariance
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    Chapter 7 Linear Hypotheses
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    Chapter 8 The Minimax Principle
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    Chapter 9 Multiple Testing and Simultaneous Inference
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    Chapter 10 Conditional Inference
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    Chapter 11 Basic Large Sample Theory
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    Chapter 12 Quadratic Mean Differentiable Families
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    Chapter 13 Large Sample Optimality
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    Chapter 14 Testing Goodness of Fit
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    Chapter 15 General Large Sample Methods
Attention for Chapter 12: Quadratic Mean Differentiable Families
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