Statistical Models Based on Counting Processes, 1993. ,
DOI : 10.1007/978-1-4612-4348-9
The performance of standard and hybrid em algorithms for ml estimates of the normal mixture model with censoring, Journal of Statistical Computation and Simulation, vol.39, issue.1-2, pp.105-115, 1992. ,
DOI : 10.1214/aos/1176346060
Likelihood inference for lognormal data with left truncation and right censoring with an illustration, Journal of Statistical Planning and Inference, vol.141, issue.11, pp.3536-3553, 2011. ,
DOI : 10.1016/j.jspi.2011.05.007
An EM-Like Algorithm for Semi- and Nonparametric Estimation in Multivariate Mixtures, Journal of Computational and Graphical Statistics, vol.18, issue.2, pp.505-526, 2009. ,
DOI : 10.1198/jcgs.2009.07175
URL : https://hal.archives-ouvertes.fr/hal-00193730
mixtools: An R package for analyzing finite mixture models, Journal of Statistical Software, vol.32, issue.6, pp.1-29, 2009. ,
URL : https://hal.archives-ouvertes.fr/hal-00384896
Estimators Based on Data-Driven Generalized Weighted Cram??r-von Mises Distances under Censoring - with Applications to Mixture Models, Scandinavian Journal of Statistics, vol.20, issue.1, pp.108-129, 2011. ,
DOI : 10.1111/j.1467-9469.2010.00708.x
A stochastic EM algorithm for a semiparametric mixture model, Computational Statistics & Data Analysis, vol.51, issue.11, pp.515429-5443, 2007. ,
DOI : 10.1016/j.csda.2006.08.015
URL : https://hal.archives-ouvertes.fr/hal-00018493
Semiparametric estimation of a two-component mixture model, The Annals of Statistics, vol.34, issue.3, pp.1204-1232, 2006. ,
DOI : 10.1214/009053606000000353
Single versus mixture Weibull distributions for nonparametric satellite reliability, Reliability Engineering & System Safety, vol.95, issue.3, pp.295-300, 2010. ,
DOI : 10.1016/j.ress.2009.10.001
Stochastic versions of the em algorithm: an experimental study in the mixture case, Journal of Statistical Computation and Simulation, vol.67, issue.4, pp.287-314, 1996. ,
DOI : 10.1214/aos/1176346060
URL : https://hal.archives-ouvertes.fr/hal-00693519
The SEM algorithm: A probabilistic teacher algorithm derived from the EM algorithm for the mixture problem, Computational Statistics Quarterly, vol.2, pp.73-82, 1986. ,
A stochastic EM algorithm for mixtures with censored data, Journal of Statistical Planning and Inference, vol.46, issue.1, pp.1-25, 1995. ,
DOI : 10.1016/0378-3758(94)00097-F
Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society. Series B (Methodological), vol.39, issue.1, pp.1-38, 1977. ,
Statistical reliability analysis of satellites by mass category: Does spacecraft size matter?, Acta Astronautica, vol.67, issue.5-6, pp.584-595, 2010. ,
DOI : 10.1016/j.actaastro.2010.04.017
Inference for mixtures of symmetric distributions, The Annals of Statistics, vol.35, issue.1, pp.224-251, 2007. ,
DOI : 10.1214/009053606000001118
Minimum Hellinger distance estimation in a nonparametric mixture model, Journal of Statistical Planning and Inference, vol.139, issue.3, pp.1118-1133, 2009. ,
DOI : 10.1016/j.jspi.2008.07.004
EM algorithms for multivariate Gaussian mixture models with truncated and censored data, Computational Statistics & Data Analysis, vol.56, issue.9, pp.2816-2829, 2012. ,
DOI : 10.1016/j.csda.2012.03.003
Finding the observed information matrix when using the em algorithm, J. R. Statist. Soc. Ser. B, vol.44, pp.226-233, 1982. ,
Finite mixture models, Wiley Series in Probability and Statistics: Applied Probability and Statistics, 2000. ,
DOI : 10.1002/0471721182
The EM Algorithm and Extensions, Wiley Series in Probability and Statistics: Applied Probability and Statistics, 2008. ,
The Stochastic EM Algorithm: Estimation and Asymptotic Results, Bernoulli, vol.6, issue.3, pp.457-489, 2000. ,
DOI : 10.2307/3318671
R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, 2010. ,
survival: Survival analysis, including penalised likelihood. R package version 2, pp.35-43, 2009. ,