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Statistical Inference/Interval Estimation
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Statistical Inference
Revision as of 12:27, 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
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1
Methods of Finding Interval Estimators
1.1
Inverting & Test Statistic
1.2
Pivotal Quantities
1.3
Pivoting the CDF
1.4
Bayesian Intervals
2
Methods of Evaluating Interval Estimators
2.1
Size and Coverage Probability
2.2
Test—Related Optimality
2.3
Bayesian Optimality
2.4
Loss Function Optimality
Methods of Finding Interval Estimators
Inverting & Test Statistic
Pivotal Quantities
Pivoting the CDF
Bayesian Intervals
Methods of Evaluating Interval Estimators
Size and Coverage Probability
Test—Related Optimality
Bayesian Optimality
Loss Function Optimality
Categories
:
Statistics
Statistical Inference