Estimator based on percentiles for log-logistic distribution

ARIK İ., Kantar Y. M.

2012 International Conference on Statistics in Science, Business and Engineering, ICSSBE 2012, Langkawi, Kedah, Malaysia, 10 - 12 September 2012, pp.609-613 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/icssbe.2012.6396637
  • City: Langkawi, Kedah
  • Country: Malaysia
  • Page Numbers: pp.609-613
  • Keywords: least squares, log-logistic distribution, maximum likelihood, percentile
  • Anadolu University Affiliated: Yes

Abstract

In this study, we consider the estimator based on percentiles for log-logistic distribution similar to the study of [6] and we also graph breakdown plots of the estimators that are considered below to have an opinion about robustness properties. The estimator based on percentiles is explicit functions of sample percentiles, thus, easy to compute and do not involve any iterative computational complexities like Maximum likelihood estimator (MLE). The simulation results show that the considered estimator performs better than MLE for small sample sizes. © 2012 IEEE.