Principles of Data Reduction

Key Definitions:

  • The Sufficiency Principle: sufficient statistics, ancillary statistics

T is a sufficient statistic of x if T contains all the information that is needed to estimate the parameter \theta. 

  • The Likelihood Principle

The likelihood function L(\theta | x) is a sufficient statistic (controversial)

  • The Equivariance Principle

 

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