Parametric Inference

Parametric inference studies the estimation, testing and confidence procedures for finite-dimensional parameters that specify families of probability distributions. It includes methods such as maximum likelihood, method of moments, hypothesis tests, confidence sets and their asymptotic properties, focusing on optimality and efficiency of the resulting statistical procedures.