Computation of the MLE for bivariate interval censored data
published: Dec. 10, 2007, recorded: September 2007, views: 1209
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I will discuss the new R-package 'MLEcens', which computes the nonparametric maximum likelihood estimator (MLE) for the distribution function of bivariate interval censored data. The computation of the MLE consists of two steps: a parameter reduction step and an optimization step. I will discuss algorithms for both steps. I will also illustrate the R-package using several examples.
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