1403/01/09
اکبر اصغر زاده

اکبر اصغر زاده

مرتبه علمی: استاد
ارکید:
تحصیلات: دکترای تخصصی
اسکاپوس:
دانشکده: دانشکده علوم ریاضی
نشانی:
تلفن: 011-54302476

مشخصات پژوهش

عنوان
Inference for the Type-II Generalized Logistic Distribution with Progressive Hybrid Censoring
نوع پژوهش
JournalPaper
کلیدواژه‌ها
Maximum likelihood estimation; progressively Type-II hybrid censoring; Type-II generalized logistic distribution
سال
2017
مجله journal of statistical research of iran
شناسه DOI
پژوهشگران Mina Azizpour ، Akbar Asgharzadeh

چکیده

This article presents the analysis of the Type-II hybrid progressively censored data when the lifetime distributions of the items follow Type- II generalized logistic distribution. Maximum likelihood estimators (MLEs) are investigated for estimating the location and scale parameters. It is observed that the MLEs can not be obtained in explicit forms. We provide the approximate maximum likelihood estimators (AMLEs) by appropriately approximating the likelihood equations. Asymptotic confidence intervals based on MLEs and AMLEs and one bootstrap confidence interval are proposed. Estimation of the shape parameter is also discussed. Monte Carlo simulations are performed to compare the performances of the different methods and two real data sets have been analyzed for illustrative purposes.