GOODNESS-OF-FIT TESTS FOR LAPLACE DISTRIBUTION USING RANKED SET SAMPLING

Abstract

The ranked set sampling (RSS) method is more efficient than the commonly used simple random sampling (SRS) method. In this paper,
some new goodness-of-fit tests based on the sample entropy and empirical distribution function for the Laplace distribution using ranked
set sampling (RSS) are suggested. The newly suggested tests based on RSS are compared with their simple random sampling (SRS)
competitors. The critical values of the corresponding test statistic are computed for each method and the powers of the tests are obtained
based on different alternatives. Simulation results indicate that RSS tests are more powerful than their SRS counterparts