Fauzi, SaziatiFirdausSugiarto, Sigit2014-03-252014-03-252014-03-25Rangga Dwijunanda Putrahttp://repository.unri.ac.id/xmlui/handle/123456789/5869In this article we study the ratio estimator, regression estimator and ratio regression estimator using two auxiliary variables in simple random sampling, which is a review from parts of an article Abu-Dayyeh et al. [Applied Mathematics and Computation. 162: 901-908]. The estimators are biased estimators. Then mean square error of each estimator is determined. The estimator with the smallest mean square error is the most efficient estimator. An example is given at the end of discussion.otherauxiliary variablemean square errorratio and regression estimatorsimple random samplingOther