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In this paper, we propose a transformed na\"ive ratio and product basedestimators using the characterizing scalar in presence of auxiliary informationof the study variable for estimating the population mode following simplerandom sampling without replacement. The bias, mean square errors, relativeefficiency, ratios of the exact values of mean square errors to the simulatedmean square errors and confidence interval are studied for the performance ofthe proposed transformed na\"ive ratio type estimator with the certain naturalpopulation as well as artificially generated data sets. We have shown thatproposed transformed na\"ive ratio based estimator is more efficient than thena\"ive estimator and na\"ive ratio estimator of the population mode.

Transformed Naive Ratio and Product Based Estimators for Estimating Population Mode in Simple Random Sampling