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Statistical Inference/Asymptotic Evaluations
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Statistical Inference
Revision as of 12:30, 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
Point Estimation
1.1
Consistency
1.2
Efficiency
1.3
Calculations and Comparisons
1.4
Bootstrap Standard Errors
2
Robustness
2.1
The Mean and the Median
2.2
M-Estimators
3
Hypothesis Testing
3.1
Asymptotic Distribution of LRTs
3.2
Other Large-Sample Tests
4
Interval Estimation
4.1
Approximate Maximum Likelihood Intervals
4.2
Other Large-Sample Intervals
Point Estimation
Consistency
Efficiency
Calculations and Comparisons
Bootstrap Standard Errors
Robustness
The Mean and the Median
M-Estimators
Hypothesis Testing
Asymptotic Distribution of LRTs
Other Large-Sample Tests
Interval Estimation
Approximate Maximum Likelihood Intervals
Other Large-Sample Intervals
Categories
:
Statistics
Statistical Inference