A new ratio estimator in stratified random sampling
A new ratio estimator in stratified random sampling
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DOI：
10.1081/sta-200052156
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发表时间：
2005-01-01
影响因子：
0.8
通讯作者：
Cingi, H
中科院分区：
文献类型：
--
作者：
Kadilar, C;Cingi, H
在本文中，我们在 Prasad (1989) 估计器的基础上提出了一种新的分层随机抽样比率估计器。理论上，我们获得该估计量的均方误差 (MSE)，并将其与传统组合比率估计的 MSE 进行比较。通过比较，我们证明所提出的估计器在所有条件下都比组合比率估计更有效。此外，这一理论结果得到了数值例子的支持。
In this article, we suggest a new ratio estimator in stratified random sampling based on the Prasad (1989) estimator. Theoretically, we obtain the mean square error (MSE) for this estimator and compare it with the MSE of traditional combined ratio estimate. By this comparison, we demonstrate that proposed estimator is more efficient than combined ratio estimate in all conditions. In addition, this theoretical result is supported by a numerical example.