A0193
Title: Performance evaluation of some modified maximum likelihood estimators for power function distribution with outliers
Authors: Demet Han Aydin - Sinop University (Turkey) [presenting]
Abstract: The estimation procedure for the parameters of the probability distribution is essential for statistical inference, especially for testing the hypotheses and establishing confidence intervals. One of the most widely used statistical distributions in the context of reliability studies is the power function distribution because it allows flexible modeling of lifetime data. In the presence of outliers, this study investigates the performance of modified maximum likelihood estimators of the parameters of the power function distribution. We design and conduct a Monte-Carlo simulation study to evaluate the performance of the parameter estimators. Next, the wind dataset modified by outliers is analyzed to corroborate the simulation results and to demonstrate the usefulness of the estimators.
