  Marshall-Olkin Extended Burr XII (MOEBXII) distribution family, which is a
generalization of Burr XII distribution proposed by Al-Saiari et al. [1] , is a
flexible distribution that can be used in many fields such as actuarial
science, economics, life testing, reliability and failure time modeling. The
parameters of the MOEBXII distribution are usually estimated by the maximum
likelihood (ML) and least squares (LS) estimation methods. However, these
estimators are not robust to the outliers which are often encountered in
practice. There are two main purposes of this paper. The first one is to find
the robust estimators for the parameters of the MOEBXII distribution. The
second one is to use this distribution for modeling data from pharmacokinetics
study. To obtain the robust estimators we use the optimal B robust estimator
proposed by Hampel et al. [2]. We provide a simulation study to show the
performance of the proposed estimators for the ML, LS and robust M estimators.
We also give a real data example to illustrate the modeling capacity of the
MOEBXII distribution for data from pharmacokinetics study.
