Some new ratio estimators using coefficient of variation and Kurtosis of auxiliary variate
We propose some ratio estimators of a finite population mean using auxiliary variable and obtain mean square error (MSE) equations for all proposed estimators. We find theoretical conditions that make each proposed estimator more efficient than the traditional ratio estimators. In addition, we support these theoretical results with the aid of a numerical example.
Ratio estimator Auxiliary variable Mean square error Efficiency
Jingli Lu Zaizai Yan Changjiang Ding Zhimin Hong
College of Sciences Inner Mongolia University of Technology Hohhot 010051, China
国际会议
成都
英文
132-135
2010-06-12(万方平台首次上网日期,不代表论文的发表时间)