Maximam likelihood estimation with welbull models when the data are grouped
- 1 January 1982
- journal article
- research article
- Published by Taylor & Francis in Communications in Statistics - Theory and Methods
- Vol. 11 (2) , 199-207
- https://doi.org/10.1080/03610928208828227
Abstract
The likelihood equations are given for the Weibull distribution with qtouped data* A numerical technique is described for calculating the asymptotic variance-covatiance matrix with grouped data. Results from a Monte Carlo study are then used to show that in son© cases the measured efficiencies obtained with grouped data are substantially better than those rrteasiired Cor partially grouped (censored! dataf contradicting the asymptotic efficiency predictions.Keywords
This publication has 2 references indexed in Scilit:
- A Computational Technique For Maximum Likelihood Estimation With Weibull ModelsIEEE Transactions on Reliability, 1980
- Asymptotic Variances and Covariances of Maximum-Likelihood Estimators, from Censored Samples, of the Parameters of Weibull and Gamma PopulationsThe Annals of Mathematical Statistics, 1967