Almost Unbiased Estimation of Coefficient of Dispersion from Incomplete Data

M. U. Sohail, N. Koyuncu, Muhammad Areeb Iqbal Sethi
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Abstract

This article develops an almost unbiased estimation of coefficient of dispersion by the productive use of coefficient of dispersion of the auxiliary variable in two phase sampling. Expressions for variances of the proposed estimators are obtained up to first order of approximation. The relative comparision of proposed unbiased ratio estimator are compared with navie estimator by using simulated data sets. Thus, we conclude that the suggested imputation methodology is more efficient than traditional estimator.
不完全数据离散系数的几乎无偏估计
本文利用两相抽样中辅助变量的频散系数,提出了一种几乎无偏的频散系数估计方法。在一阶近似下得到了所提估计量的方差表达式。利用模拟数据集,将所提出的无偏比估计量与传统估计量进行了相对比较。因此,我们得出结论,建议的估算方法比传统的估计方法更有效。
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