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Statistical Inference/Regression Models
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Statistical Inference
Revision as of 12:37, 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
Regression with Errors in Variables
1.1
Functional and Structural Relationships
1.2
A Least Squares Solution
1.3
Maximum Likelihood Estimation
1.4
Confidence Sets
2
Logistic Regression
2.1
The Model
2.2
Estimation
3
Robust Regression
Regression with Errors in Variables
Functional and Structural Relationships
A Least Squares Solution
Maximum Likelihood Estimation
Confidence Sets
Logistic Regression
The Model
Estimation
Robust Regression
Categories
:
Statistics
Statistical Inference