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Parameter estimation for the generalized exponential distribution in the presence of interval censored data and covariate | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 57، دوره 14، شماره 1، فروردین 2023، صفحه 739-751 اصل مقاله (648.11 K) | ||
| نوع مقاله: Review articles | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2021.23746.2607 | ||
| نویسندگان | ||
| Hussein Ali AL-Hakeem* 1؛ Jayanthi Arasan2؛ Mohd Shafie Bin Mustafa3؛ Lim Fong Peng3 | ||
| 1Institute for Mathematical Research,43400 UPM Serdang, Selangor, Malaysia | ||
| 2Department of Mathematics \& Statistics, Faculty of Science, 43400 UPM Serdang, Selangor, Malaysia | ||
| 3Department of Mathematics & Statistics, Faculty of Science, 43400 UPM Serdang, Selangor, Malaysia | ||
| تاریخ دریافت: 04 خرداد 1400، تاریخ بازنگری: 01 تیر 1400، تاریخ پذیرش: 19 تیر 1400 | ||
| چکیده | ||
| 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. | ||
| کلیدواژه‌ها | ||
| Generalized Exponential distribution؛ Interval censoring؛ Covariate؛ MLE | ||
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