Lecture

Estimating R: Maximum Likelihood Method

Description

This lecture covers the concept of estimating parameters in statistical models using the maximum likelihood method. It explains the process of choosing estimators and the properties desired in an estimator. The lecture also introduces the method of moments and the concept of point estimation, providing examples to illustrate the theoretical concepts.

About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.