Modification of Regression Rating to Estimate Population Average Using Quartiles and Population Variations Coefficie

  • Haposan Sirait, Sukono, Echa Syahara, Agung Prabowo, Kalfin

Abstract

In conducting the assessment, in general only take a few samples of the many possible
samples, and the estimated value for population parameters is only calculated based on
the sample taken. So that errors in assessing will be very likely to occur. The estimator
discussed in this study is to estimate the population average. The method used is the
quartile method and the coefficient of population variation using a regression estimator.
Quartile methods and coefficients of population variation are performed to estimate the
average population in simple random sampling. The regression estimator is a biased
estimator. In this study aims to compare the two estimators with the ratio estimator
through MSE and the variance of the estimator. From the results of the comparative
analysis it is found that the estimator is more efficient than the estimator .

Published
2020-05-01
How to Cite
Haposan Sirait, Sukono, Echa Syahara, Agung Prabowo, Kalfin. (2020). Modification of Regression Rating to Estimate Population Average Using Quartiles and Population Variations Coefficie. International Journal of Advanced Science and Technology, 29(7s), 3494-3500. Retrieved from https://sersc.org/journals/index.php/IJAST/article/view/17640