CC BY 4.0In this paper, we have considered that ranked set sampling is able to estimate the parameters
of exponentiated Pareto distribution. The method with which the maximum likelihood estimators for
the parameters of exponentiated Pareto distribution is studied is numerical since there is no presence
or possibility of a closed-form at the hands of estimators or any other intellectual. The numerical
approach is a well-suited one for this study as there has been struggles in achieving it with any other
technique. In order to compare the different sampling methods, simulation studies are performed as
the main technique. As for the illustrative purposes, analysis of a simulated dataset is desired for the
objective of the presentation. The conclusion that we can reach based on these is that the estimators
based on the ranked set sample have far better efficiency than the simple random sample at the same
sample size
