# 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