• R. Zoramthanga
• Daniel Lalawmpuia
• Zonunmawia
• Liansangmawii Chhakchhuak

In this study, two occasion successive sampling for chain ratio-to-regression estimator was used to determine the current estimate of the population mean using the matched part and one auxiliary variable, which is available on both the occasions. The data used were based on the total number of male workers in the villages of Mizoram with the total number of literate male in villages in Mizoram as an auxiliary variable. The data were collected from Census of India 2001 and 2011. The optimum mean square error of the combined chain ratio-to-regression and ratio estimator has been compared with (i) mean per unit estimator and (ii) combined estimator when no auxiliary information is used at any occasion. This result showed that the combined ratio-to-regression and ratio estimator is more efficient than the other three existing estimators

chain ratio-to-regression estimator, successive sampling, mean square error (MSE), mean per unit estimator, relative efficiency.

"Efficiency of Chain Ratio-To-Regression Estimator over other Existing Estimators Using Two Occasion Successive Sampling", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.f176-f179, May-2021, Available :http://www.jetir.org/papers/JETIR2105688.pdf

"Efficiency of Chain Ratio-To-Regression Estimator over other Existing Estimators Using Two Occasion Successive Sampling", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppf176-f179, May-2021, Available at : http://www.jetir.org/papers/JETIR2105688.pdf