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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'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 | ||
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آمار تعداد مشاهده مقاله: 497 تعداد دریافت فایل اصل مقاله: 820 |
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