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Plamen Markov

Publications and source records attributed to Plamen Markov.

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Observed Range Maximum Likelihood Estimation

The idea of maximizing the likelihood of the observed range for a set of jointly realized counts has been employed in a variety of contexts. The applicability of the MLE introduced in [1] has been extended to the general case of a multivariate sample containing interval censored outcomes. In addition, a kernel density estimator and a related score function have been proposed leading to the construction of a modified Nadaraya-Watson regression estimator. Finally, the author has treated the problems of estimating the parameters of a mutinomial distribution and the analysis of contingency tables in the presence of censoring.

math.ST

Empirical Cummulative Density Function from a Univariate Censored Sample

Let F be an unknown univariate distribution function to be estimated from a sample containing censored observations and tau be in dom(F). The author has derived a novel nonparametric estimator F_hat for F without making any assumptions regarding the nature of the censoring mechanism or the distribution function F. The distribution of F_hat(tau) can be easily and accurately estimated even for small sample sizes. The estimator F_hat has significantly outperformed the Kaplan Meier estimator in a simulation study with an exponential and a lognormal distribution functions F and a censoring mechanism defined by i.i.d. uniform random observation points.

math.ST