![]() ![]() More examples: Binomial and Poisson Distributionsīack to Lecture 7: "Comparison of Maximum likelihood (MLE) and Bayesian Parameter Estimation"īack to ECE662, Spring 2008, Prof. ![]() Suppose that the Bernoulli experiments are performed at equal time. Thus the estimate of p is the number of successes divided by the total number of trials. The geometric distribution is considered a discrete version of the exponential distribution. We introduce different types of estimators such as the maximum likelihood, method of moments. moments, proportions, and Bayesian estimation methods, and the simulation. of the extended exponential geometric distribution. ![]() Examples of Parameter Estimation based on Maximum Likelihood (MLE): the exponential distribution and the geometric distributionĬomplement to Lecture 7: "Comparison of Maximum likelihood (MLE) and Bayesian Parameter Estimation" In this paper, a new modified version of geometric distribution is proposed. ![]()
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