Simulation of generalized Gamma distribution with maximum likelihood estimation and expectation-maximization algorithm on right censored data type 1

Comparison of three Estimation Procedures for Weibull Distribution based on Progressive Type II Right Censored Data

In this paper, based on the progressive type II right censored data, we consider estimates of MLE and AMLE of scale and shape parameters of weibull distribution. Also a new type of parameter estimation, named inverse estimation, is introdued for both shape and scale parameters of weibull distribution which is used from order statistics properties in it. We use simulations and study the biases a...

Maximum likelihood estimation of K-distribution parameters via the expectation-maximization algorithm

Maximum Lq-Likelihood Estimation via the Expectation Maximization Algorithm: A Robust Estimation of Mixture Models

We introduce a maximum Lq-likelihood estimation (MLqE) of mixture models using our proposed expectation maximization (EM) algorithm, namely the EM algorithm with Lq-likelihood (EM-Lq). Properties of the MLqE obtained from the proposed EMLq are studied through simulated mixture model data. Compared with the maximum likelihood estimation (MLE) which is obtained from the EM algorithm, the MLqE pro...

Maximum Likelihood Estimation in Generalized Gamma Type Model

In the present paper, the maximum likelihood estimates of the two parameters of a generalized gamma type model have been obtained directly by solving the likelihood equations as well as by reparametrizing the model first and then solving the likelihood equations (as done by Prentice, 1974) for fixed values of the third parameter. It is found that reparametrization does neither reduce the bulk n...

Estimation of Parameters for an Extended Generalized Half Logistic Distribution Based on Complete and Censored Data

This paper considers an Extended Generalized Half Logistic distribution. We derive some properties of this distribution and then we discuss estimation of the distribution parameters by the methods of moments, maximum likelihood and the new method of minimum spacing distance estimator based on complete data. Also, maximum likelihood equations for estimating the parameters based on Type-I and Typ...