Pratiwi, D. L.Adnan, A.Sugiarto, S.2014-03-252014-03-252014-03-25Rangga Dwijunanda Putrahttp://repository.unri.ac.id/xmlui/handle/123456789/5845In this article we study the combination of ratio estimator and product estimator in systematic random sampling, which is a review and an expansion correction from the article of Singh, et. al. [Journal of Modern Applied Statistical Methods, 10: 424-435]. Each estimator is a biased estimator and the mean square errors are determined. Estimator with the smallest mean square error is the most efficient estimator. An example is given at the end of the discussion.othersystematic random samplingratio and product estimatorbiasmean square errorOther