Robust and efficient reliability estimation for exponential distribution

In modeling reliability data, the exponential distribution is commonly used due to its simplicity. For estimating the parameter of the exponential distribution, classical estimators including maximum likelihood estimator represent the most commonly used method and are well known to be efficient. How...

Full description

Bibliographic Details
Main Authors: Mohd Safari, Muhammad Aslam, Masseran, Nurulkamal, Abdul Majid, Muhammad Hilmi
Format: Article
Published: Tech Science Press 2021
Online Access:http://psasir.upm.edu.my/id/eprint/94985/
_version_ 1848862045475176448
author Mohd Safari, Muhammad Aslam
Masseran, Nurulkamal
Abdul Majid, Muhammad Hilmi
author_facet Mohd Safari, Muhammad Aslam
Masseran, Nurulkamal
Abdul Majid, Muhammad Hilmi
author_sort Mohd Safari, Muhammad Aslam
building UPM Institutional Repository
collection Online Access
description In modeling reliability data, the exponential distribution is commonly used due to its simplicity. For estimating the parameter of the exponential distribution, classical estimators including maximum likelihood estimator represent the most commonly used method and are well known to be efficient. However, the maximum likelihood estimator is highly sensitive in the presence of contamination or outliers. In this study, a robust and efficient estimator of the exponential distribution parameter was proposed based on the probability integral transform statistic. To examine the robustness of this new estimator, asymptotic variance, breakdown point, and gross error sensitivity were derived. This new estimator offers reasonable protection against outliers besides being simple to compute. Furthermore, a simulation study was conducted to compare the performance of this new estimator with the maximum likelihood estimator, weighted likelihood estimator, and M-scale estimator in the presence of outliers. Finally, a statistical analysis of three reliability data sets was conducted to demonstrate the performance of the proposed estimator.
first_indexed 2025-11-15T13:10:47Z
format Article
id upm-94985
institution Universiti Putra Malaysia
institution_category Local University
last_indexed 2025-11-15T13:10:47Z
publishDate 2021
publisher Tech Science Press
recordtype eprints
repository_type Digital Repository
spelling upm-949852023-01-09T02:09:42Z http://psasir.upm.edu.my/id/eprint/94985/ Robust and efficient reliability estimation for exponential distribution Mohd Safari, Muhammad Aslam Masseran, Nurulkamal Abdul Majid, Muhammad Hilmi In modeling reliability data, the exponential distribution is commonly used due to its simplicity. For estimating the parameter of the exponential distribution, classical estimators including maximum likelihood estimator represent the most commonly used method and are well known to be efficient. However, the maximum likelihood estimator is highly sensitive in the presence of contamination or outliers. In this study, a robust and efficient estimator of the exponential distribution parameter was proposed based on the probability integral transform statistic. To examine the robustness of this new estimator, asymptotic variance, breakdown point, and gross error sensitivity were derived. This new estimator offers reasonable protection against outliers besides being simple to compute. Furthermore, a simulation study was conducted to compare the performance of this new estimator with the maximum likelihood estimator, weighted likelihood estimator, and M-scale estimator in the presence of outliers. Finally, a statistical analysis of three reliability data sets was conducted to demonstrate the performance of the proposed estimator. Tech Science Press 2021 Article PeerReviewed Mohd Safari, Muhammad Aslam and Masseran, Nurulkamal and Abdul Majid, Muhammad Hilmi (2021) Robust and efficient reliability estimation for exponential distribution. CMC-Computers Materials & Continua, 69 (2). 2807 - 2824. ISSN 1546-2218; ESSN: 1546-2226 https://www.techscience.com/cmc/v69n2/43913 10.32604/cmc.2021.018815
spellingShingle Mohd Safari, Muhammad Aslam
Masseran, Nurulkamal
Abdul Majid, Muhammad Hilmi
Robust and efficient reliability estimation for exponential distribution
title Robust and efficient reliability estimation for exponential distribution
title_full Robust and efficient reliability estimation for exponential distribution
title_fullStr Robust and efficient reliability estimation for exponential distribution
title_full_unstemmed Robust and efficient reliability estimation for exponential distribution
title_short Robust and efficient reliability estimation for exponential distribution
title_sort robust and efficient reliability estimation for exponential distribution
url http://psasir.upm.edu.my/id/eprint/94985/
http://psasir.upm.edu.my/id/eprint/94985/
http://psasir.upm.edu.my/id/eprint/94985/