International Journal of Statistics and Systems
  • Year: 2010
  • Volume: 5
  • Issue: 3

Estimation of P[Y<X] for Generalized Exponential Distribution with Presence of one Outlier

  • Author:
  • P. Nasiri, Masoud Yarmohammdai, Mehdi Jabbari Nooghabi1
  • Total Page Count: 13
  • Page Number: 297 to 309

1Department of Statistics, Ferdowsi University of Mashhad, Iran e-mail: jabbarinm@yahoo.com and jabbarinm@gmail.com

Department of Statistics, Tehran Payam-e-Noor University, Fallahpour St., Nejatollahi St., Tehran, Iran

*Corresponding author. E-mail: pnasiri@hotmail.com

AMS subject classification:

Abstract

This paper deals with the estimation of P(Y <X) where Y has generalized exponential distribution with parameters α and λ and X has generalized exponential distribution with presence of one outlier with parameters λ,β1,β2 such that X and Y are independent. The maximum likelihood estmator of R = P(Y <X) when scale parameter (λ) is known and unknown are derived. Monte Carlo simulations are performed to compare the different proposed methods. Analysis of a simulated data set has also been presented for illustrative purposes.

Keywords

Stress-Strength model, Maximum likelihood estimator, Outlier