Applications of Ranked Set Sampling in Estimating Parameters of Morgenstern Type Bivariate Logistic Distribution

Abstract

Abtsrcat

In this work we apply ranked set sampling and its modi-fied version called extreme ranked set sampling to estimate the parameters of Morgenstern type bivariate logistic distribution (MTBLD). The Fisher information derived in this paper about the parameters contained in the concomitants of order statistics arising from MTBLD justies the possible advantages of applying extreme ranked set sampling. We propose estimators for some unknown parameters of MTBLD based on observations available on both of these two methods of ranked set sampling and make comparison on the efficiency of one estimator over the other.