An adaptive allocation sampling design for which the conventional stratified estimator is an appropriate estimator

被引:1
|
作者
Moradi, Mohammad [2 ,3 ]
Salehi, Mohammad [1 ,3 ]
机构
[1] Qatar Univ, Dept Math Stat & Phys, Doha, Qatar
[2] Razi Univ, Dept Sci, Kermanshah, Iran
[3] Isfahan Univ Technol, Dept Math Sci, Esfahan 8415683111, Iran
关键词
Stratified population; Neyman's allocation; Murthy's estimator; Conventional stratified estimator; POPULATIONS;
D O I
10.1016/j.jspi.2009.10.003
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Adaptive allocations in stratified sampling design are suitable for studying Biological and Environmental populations. Biologists tend to use the conventional stratified estimator for an adaptive allocation sampling design in spite of its adaptive nature. In this paper, we have introduced an adaptive allocation sampling design for which the conventional stratified estimator has some desired statistical properties. We conduct a simulation study on a real population. The results show that the conventional stratified estimator for the introduced adaptive allocation sampling design is more efficient than other available estimators. (C) 2009 Elsevier B.V. All rights reserved.
引用
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页码:1030 / 1037
页数:8
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