Maximum likelihood and maximum product of spacings estimations for the parameters of skew-normal distribution under doubly type II censoring using genetic algorithm
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference69 articles.
1. A new approach for estimating the parameters of Weibull distribution via particle swarm optimization: an application to the strengths of glass fibre data;Acitas;Reliability Engineering & System Safety,2019
2. Maximum likelihood identification of Gaussian autoregressive moving average models;Akaike;Biometrika,1973
3. Inference for the Jones and Faddy’s Skewed t-Distribution based on Progressively Type-II censored samples;Akgül;Gazi University Journal of Science,2017
4. Maximum product spacing and Bayesian method for parameter estimation for generalized power Weibull distribution under censoring scheme;Almetwally;Journal of Data Science,2019
5. Adaptive type-II progressive censoring schemes based on maximum product spacing with application of generalized Rayleigh distribution;Almetwally;Journal of Data Science,2019
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