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Maximum Likelihood Estimation and Likelihood Ratio test revisited
Maximum likelihood Estimation is an important aspect of frequentist approach which was
introduced by RA Fisher [1]. Maximum Likelihood estimation method helps us to find the estimator
for the unknown population parameter. There are other methods of estimation also available such
as Least Square Estimation and Bayesian Estimation methods but Maximum Likelihood Estimation is
the widely used method to estimate the parameters. This paper provides an overview of Maximum
Likelihood Method with example to calculate a Maximum Likelihood Estimator from a sample data
set.
Keywords: Maximum Likelihood Estimation, parametric, likelihood, likelihood ratio, likelihood ratio
test, chi square
www.vinaitheerthan.com/MLE/php

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Maximum likelihood estimation

  • 1. www.vinaitheerthan.com 1 Maximum Likelihood Estimation and Likelihood Ratio test revisited Maximum likelihood Estimation is an important aspect of frequentist approach which was introduced by RA Fisher [1]. Maximum Likelihood estimation method helps us to find the estimator for the unknown population parameter. There are other methods of estimation also available such as Least Square Estimation and Bayesian Estimation methods but Maximum Likelihood Estimation is the widely used method to estimate the parameters. This paper provides an overview of Maximum Likelihood Method with example to calculate a Maximum Likelihood Estimator from a sample data set. Keywords: Maximum Likelihood Estimation, parametric, likelihood, likelihood ratio, likelihood ratio test, chi square www.vinaitheerthan.com/MLE/php