1403/01/10
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
Statistical inference based on Lindley record data
نوع پژوهش
JournalPaper
کلیدواژه‌ها
Lindley distribution · Maximum likelihood estimation · Moments based estimate · Bayesian estimation and prediction
سال
2018
مجله STATISTICAL PAPERS
شناسه DOI
پژوهشگران Akbar Asgharzadeh ، Adeleh Fallah ، M. Z. Raqab ، Reza Valiollahi

چکیده

Based on record statistics from Lindley distribution, we consider here the problem of estimating the model parameter and predicting the unobserved records. Frequentist and Bayesian analyses are discussed for making some inferences for the model parameter and prediction of unobserved records. Frequentist methods involving maximum likelihood estimation and moments based estimation and Bayesian sampling-based technique are applied for estimating the unknown shape parameter as well as predicting the future unobserved units. The corresponding point predictors and credible intervals of future record values based on an informative set of records can be developed. Real data analysis has been performed for illustrative purposes.