Tag: Likelihood Principle

Likelihood Principle is a statistical principle which states that the best estimate of a parameter is the value that maximizes the likelihood function. This principle is commonly used to estimate parameters for statistical models such as logistic regression, linear regression, and Poisson regression. The likelihood principle is a fundamental tool in the fields of statistics, […]