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Mathematical Statistics : A Unified Introduction
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Table of Contents
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Book Overview
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Chapter 1
Getting Started
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Chapter 2
Structural Models for Data
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Chapter 3
Least Squares Methods
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Chapter 4
Mathematical Statistics
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Chapter 5
Other Probability Models
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Chapter 6
Discrete Random Variables I: The Hypergeometric Process
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Chapter 7
Discrete Random Variables II: The Bernoulli Process
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Chapter 8
Random Vectors and Random Samples
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Chapter 9
Maximum Likelihood Estimates for Discrete Models
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Chapter 10
Continuous Random Variables I: The Gamma and Beta Families
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Chapter 11
Continuous Random Variables II: Expectations and the Normal Family
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Chapter 12
Continuous Random Vectors
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Chapter 13
Sampling Statistics for the Linear Model
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Chapter 14
Representing Distributions
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Book overview
1. Getting Started
2. Structural Models for Data
3. Least Squares Methods
4. Mathematical Statistics
5. Other Probability Models
6. Discrete Random Variables I: The Hypergeometric Process
7. Discrete Random Variables II: The Bernoulli Process
8. Random Vectors and Random Samples
9. Maximum Likelihood Estimates for Discrete Models
10. Continuous Random Variables I: The Gamma and Beta Families
11. Continuous Random Variables II: Expectations and the Normal Family
12. Continuous Random Vectors
13. Sampling Statistics for the Linear Model
14. Representing Distributions
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