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Statistical Inference/Properties of a Random Sample
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Statistical Inference
Revision as of 10:13, 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
Basic Concepts of Random Samples
2
Sums of Random Variables from a Random Sample
3
Sampling from the Normal Distribution
3.1
Properties of the Sample Mean and Variance
3.2
The Derived Distributions: Student's t and Snedecor's F
4
Order Statistics
5
Convergence Concepts
5.1
Convergence in Probability
5.2
Almost Sure Convergence
5.3
Convergence in Distribution
5.4
The Delta Method
6
Generating a Random Sample
6.1
Direct Methods
6.2
Indirect Methods
6.3
The Accept/Reject Algorithm
Basic Concepts of Random Samples
Sums of Random Variables from a Random Sample
Sampling from the Normal Distribution
Properties of the Sample Mean and Variance
The Derived Distributions: Student's t and Snedecor's F
Order Statistics
Convergence Concepts
Convergence in Probability
Almost Sure Convergence
Convergence in Distribution
The Delta Method
Generating a Random Sample
Direct Methods
Indirect Methods
The Accept/Reject Algorithm
Categories
:
Statistics
Statistical Inference