Parameter estimation for the generalized exponential distribution in the presence of interval censored data and covariate

This paper concentrates on the parameter estimation for the Generalized Exponential Distribution (GED) in the presence of interval-censored data with covariate. Interval-censored data usually arises in clinical and epidemiological studies. This research attempts to investigate a conservative imputat...

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Main Authors: AL-Hakeem, Hussein Ali, Arasan, Jayanthi, Mustafa, Mohd Shafie, Lim, Fong Peng
Format: Article
Published: Semnan University 2022
Online Access:http://psasir.upm.edu.my/id/eprint/102442/
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author AL-Hakeem, Hussein Ali
Arasan, Jayanthi
Mustafa, Mohd Shafie
Lim, Fong Peng
author_facet AL-Hakeem, Hussein Ali
Arasan, Jayanthi
Mustafa, Mohd Shafie
Lim, Fong Peng
author_sort AL-Hakeem, Hussein Ali
building UPM Institutional Repository
collection Online Access
description This paper concentrates on the parameter estimation for the Generalized Exponential Distribution (GED) in the presence of interval-censored data with covariate. Interval-censored data usually arises in clinical and epidemiological studies. This research attempts to investigate a conservative imputation technique to deal with interval censored data. This is achieved by comparing the bias, standard error (SE) and root mean square error (RMSE) of the maximum likelihood estimation (MLE) obtained without using imputation with the proposed imputation method at various censoring proportion and sample sizes. The results indicate that the proposed imputation method performs better than the traditional method at all sample sizes and censoring proportions.
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institution Universiti Putra Malaysia
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last_indexed 2025-11-15T13:38:45Z
publishDate 2022
publisher Semnan University
recordtype eprints
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spelling upm-1024422023-05-18T03:18:44Z http://psasir.upm.edu.my/id/eprint/102442/ Parameter estimation for the generalized exponential distribution in the presence of interval censored data and covariate AL-Hakeem, Hussein Ali Arasan, Jayanthi Mustafa, Mohd Shafie Lim, Fong Peng This paper concentrates on the parameter estimation for the Generalized Exponential Distribution (GED) in the presence of interval-censored data with covariate. Interval-censored data usually arises in clinical and epidemiological studies. This research attempts to investigate a conservative imputation technique to deal with interval censored data. This is achieved by comparing the bias, standard error (SE) and root mean square error (RMSE) of the maximum likelihood estimation (MLE) obtained without using imputation with the proposed imputation method at various censoring proportion and sample sizes. The results indicate that the proposed imputation method performs better than the traditional method at all sample sizes and censoring proportions. Semnan University 2022 Article PeerReviewed AL-Hakeem, Hussein Ali and Arasan, Jayanthi and Mustafa, Mohd Shafie and Lim, Fong Peng (2022) Parameter estimation for the generalized exponential distribution in the presence of interval censored data and covariate. International Journal of Nonlinear Analysis and Applications, 14 (1). pp. 739-751. ISSN 2008-6822 https://ijnaa.semnan.ac.ir/article_6792.html 10.22075/IJNAA.2021.23746.2607
spellingShingle AL-Hakeem, Hussein Ali
Arasan, Jayanthi
Mustafa, Mohd Shafie
Lim, Fong Peng
Parameter estimation for the generalized exponential distribution in the presence of interval censored data and covariate
title Parameter estimation for the generalized exponential distribution in the presence of interval censored data and covariate
title_full Parameter estimation for the generalized exponential distribution in the presence of interval censored data and covariate
title_fullStr Parameter estimation for the generalized exponential distribution in the presence of interval censored data and covariate
title_full_unstemmed Parameter estimation for the generalized exponential distribution in the presence of interval censored data and covariate
title_short Parameter estimation for the generalized exponential distribution in the presence of interval censored data and covariate
title_sort parameter estimation for the generalized exponential distribution in the presence of interval censored data and covariate
url http://psasir.upm.edu.my/id/eprint/102442/
http://psasir.upm.edu.my/id/eprint/102442/
http://psasir.upm.edu.my/id/eprint/102442/