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Statistical Inference/Point Estimation

From Wiki**3

< Statistical Inference
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 Methods of Finding Estimators
    • 1.1 Method of Moments
    • 1.2 Maximum Likelihood Estimators
    • 1.3 Bayes Estimators
    • 1.4 The EM Algorithm
  • 2 Methods of Evaluating Estimators
    • 2.1 Mean Squared Error
    • 2.2 Best Unbiased Estimators
    • 2.3 Sufficiency and Unbiasedness
    • 2.4 Loss Function Optimality

Methods of Finding Estimators

Method of Moments

Maximum Likelihood Estimators

Bayes Estimators

The EM Algorithm

Methods of Evaluating Estimators

Mean Squared Error

Best Unbiased Estimators

Sufficiency and Unbiasedness

Loss Function Optimality

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Categories:
  • Statistics
  • Statistical Inference
  • This page was last edited on 4 August 2018, at 10:19.
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