Assessment Estimation Modeling of the Midpoint Coefficient for Imprecise Data

	Assessment Estimation Modeling of the Midpoint Coefficient for Imprecise Data
Journal of Data Science and Modeling
مقاله 7، دوره 1، شماره 1، اسفند 2022، صفحه 77-97 اصل مقاله (253.55 K)
نوع مقاله: Research Manuscript
شناسه دیجیتال (DOI): 10.22054/jcsm.2018.36479.1011
نویسنده
farzad eskandari^*
Department of Statistics Allameh Tabataba&#039;i University
چکیده
Imprecise measurement tools produce imprecise data. Interval-valued data is usually used to deal with such imprecision. So interval-valued variables are used in estimation methods. They have recently been modeled by linear regression models. If response variable has any statistical distributions, interval-valued variables are modeled in generalized linear models framework. In this article, we propose a new consistent estimator of a parameter in generalized linear models with regard to distributions of response variable in the exponential family. A simulation study shows that the new estimator is better than others on the basis of particular distributions of response variable. We present optimal properties of the estimators in this research
کلیدواژه‌ها
Interval-valued data؛ Generalized linear models؛ Consistent estimator؛ Simulation؛ Optimal properties

آمار تعداد مشاهده مقاله: 487 تعداد دریافت فایل اصل مقاله: 802