Explore key concepts of Maximum Likelihood Estimation (MLE) in this 30-minute tutorial from Statistics is Fun A.H. Delve into MLE applications for various probability distributions, including gamma, Bernoulli (point binomial), exponential, and geometric. Learn how to estimate parameters for these distributions using MLE techniques, with a focus on the exponential distribution's beta and theta cases. Gain practical insights into determining the MLE of "P" for geometric distribution when n experiments are conducted.
Overview
Syllabus
M.L.E of gamma distribution.
M.L.E of Bernoulli distribution or (point binomial ).
M.L.E of exponential distribution both cases for beta and theta.
Maximum likelihood estimator of "P" for geometric distribution 1. n experiments are performed.
Taught by
Statistics is Fun A.H
