Difference between revisions of "Statistical Inference/Properties of a Random Sample"

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< Statistical Inference
 
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== Basic Concepts of Random Samples ==
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= Basic Concepts of Random Samples =
  
== Sums of Random Variables from a Random Sample ==
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= Sums of Random Variables from a Random Sample =
  
== Sampling from the Normal Distribution ==
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= Sampling from the Normal Distribution =
  
== Order Statistics ==
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== Properties of the Sample Mean and Variance ==
  
== Convergence Concepts ==
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== The Derived Distributions: Student's t and Snedecor's F ==
  
== Generating a Random Sample ==
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= Order Statistics =
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= Convergence Concepts =
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== Convergence in Probability ==
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== Almost Sure Convergence ==
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== Convergence in Distribution ==
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== The Delta Method ==
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= Generating a Random Sample =
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== Direct Methods ==
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== Indirect Methods ==
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== The Accept/Reject Algorithm ==
  
 
[[category:Statistics]]
 
[[category:Statistics]]
 
[[category:Statistical Inference]]
 
[[category:Statistical Inference]]

Latest revision as of 12:13, 4 August 2018

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

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