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Statistical Inference/Hypothesis Testing
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Statistical Inference
Revision as of 12:24, 4 August 2018 by
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Statistical Inference
Probability Theory
Transformations and Expectations
Common Families of Distributions
Multiple Random Variables
Properties of a Random Sample
Principles of Data Reductions
Point Estimation
Hypothesis Testing
Interval Estimation
Asymptotic Evaluations
Analysis of Variance and Regression
Regression Models
Contents
1
Methods of Finding Tests
1.1
Likelihood Ratio Tests
1.2
Bayesian Tests
1.3
Union-Intersection and Intersection-Union Tests
2
Methods of Evaluating Tests
2.1
Error Probabilities and the Power Function
2.2
Most Powerful Tests
2.3
Sizes of Union-Intersection and Intersection-Union Tests
2.4
p-Values
2.5
Loss Function Optimality
Methods of Finding Tests
Likelihood Ratio Tests
Bayesian Tests
Union-Intersection and Intersection-Union Tests
Methods of Evaluating Tests
Error Probabilities and the Power Function
Most Powerful Tests
Sizes of Union-Intersection and Intersection-Union Tests
p-Values
Loss Function Optimality
Categories
:
Statistics
Statistical Inference