Admissibility of Linear Predictors of Finite Population Parameters under Reflected Normal Loss Function

	Admissibility of Linear Predictors of Finite Population Parameters under Reflected Normal Loss Function
Journal of Sciences, Islamic Republic of Iran
مقاله 7، دوره 27، شماره 4، بهمن 2016، صفحه 355-366 اصل مقاله (403.79 K)
نوع مقاله: Final File
نویسندگان
R. Jafaraghaie؛ N. Nematollahi^*
Department of Statistics, Faculty of Mathematical Sciences and Computer, Allameh Tabataba’i University, Tehran, Islamic Republic of Iran
چکیده
One of the most important prediction problems in finite population is the prediction of a linear function of characteristic values of a finite population. In this paper the admissibility of linear predictors of an arbitrary linear function of characteristic values in a finite population under reflected normal loss function is considered. Under the super-population model, we obtain the conditions for which the linear predictors are admissible. Also, the risk of some admissible and inadmissible predictors are compared by a simulation study.
کلیدواژه‌ها
Admissibility؛ Finite population؛ Linear predictor؛ Reflected normal loss function؛ Super-population model

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