Optimal B-Robust Estimators for the Parameters of the Generalized Half-Normal Distribution

Authors

  • Fatma Zehra Doğru Giresun University
  • Y. Murat Bulut Eskişehir Osmangazi University
  • Olcay Arslan Ankara University

DOI:

https://doi.org/10.57805/revstat.v15i3.221

Keywords:

generalized half-normal, optimal B-robust, maximum likelihood

Abstract

The purpose of this study is to propose robust estimators by using optimal B-robust (OBR) estimation method (Hampel et al. [5]) for the parameters of the generalized half-normal (GHN) distribution. After given the robust estimators, we provide a small simulation study to compare its performance with the estimators obtained from maximum likelihood (ML) estimation method. We also give a real data example to illustrate the performance of the proposed estimators.

Published

2017-07-19

How to Cite

Zehra Doğru , F., Murat Bulut , Y., & Arslan , O. (2017). Optimal B-Robust Estimators for the Parameters of the Generalized Half-Normal Distribution. REVSTAT-Statistical Journal, 15(3), 455–471. https://doi.org/10.57805/revstat.v15i3.221