New Parametric Estimation Methods based on Ranked Set Sampling

Abstract

Highlights • We show how missing data approach can be useful for introducing new parametric estimation methods. • EM algorithm and linear interpolation technique were used under ranked set sampling. • Fraction-of-random rankings model was used, for the first time, for deriving new parametric method. • It was shown numerically that the proposed methods were superior to all their competitors.