ratio estimator;
regression estimator;
auxiliary variable;
mean square error;
efficiency;
D O I:
10.1016/j.amc.2003.12.130
中图分类号:
O29 [应用数学];
学科分类号:
070104 ;
摘要:
Utilizing the estimator in Abu-Dayyeh et al. [Appl. Math. Comput. 139 (2003) 287], we suggest an estimator using two auxiliary variables in simple random sampling. We obtain mean square error (MSE) equation of the proposed estimator and theoretically compare it with the MSE of the traditional estimator using two auxiliary variables. By this comparison, we show the condition that the proposed estimator is more efficient than the traditional one. In addition, we support this theoretical result by an application with original data. (C) 2004 Elsevier Inc. All rights reserved.
机构:King Fahd Univ Petr & Minerals, Dept Math Sci, Dhahran 31261, Saudi Arabia
Abu-Dayyeh, WA
Ahmed, MS
论文数: 0引用数: 0
h-index: 0
机构:King Fahd Univ Petr & Minerals, Dept Math Sci, Dhahran 31261, Saudi Arabia
Ahmed, MS
Ahmed, RA
论文数: 0引用数: 0
h-index: 0
机构:King Fahd Univ Petr & Minerals, Dept Math Sci, Dhahran 31261, Saudi Arabia
Ahmed, RA
Muttlak, HA
论文数: 0引用数: 0
h-index: 0
机构:
King Fahd Univ Petr & Minerals, Dept Math Sci, Dhahran 31261, Saudi ArabiaKing Fahd Univ Petr & Minerals, Dept Math Sci, Dhahran 31261, Saudi Arabia
机构:King Fahd Univ Petr & Minerals, Dept Math Sci, Dhahran 31261, Saudi Arabia
Abu-Dayyeh, WA
Ahmed, MS
论文数: 0引用数: 0
h-index: 0
机构:King Fahd Univ Petr & Minerals, Dept Math Sci, Dhahran 31261, Saudi Arabia
Ahmed, MS
Ahmed, RA
论文数: 0引用数: 0
h-index: 0
机构:King Fahd Univ Petr & Minerals, Dept Math Sci, Dhahran 31261, Saudi Arabia
Ahmed, RA
Muttlak, HA
论文数: 0引用数: 0
h-index: 0
机构:
King Fahd Univ Petr & Minerals, Dept Math Sci, Dhahran 31261, Saudi ArabiaKing Fahd Univ Petr & Minerals, Dept Math Sci, Dhahran 31261, Saudi Arabia