Ranked set sampling with application of modified Kies exponential distribution
Hassan M. Aljohani, Ehab M. Almetwally, Abdulaziz S. Alghamdi, E. H. Hafez
Abstract
This paper is concerned with estimating the parameters of the modified Kies exponential (MKEx) distribution using the classical estimation method, based on ranked set sampling (RSS), Likelihood estimation method is used for estimating the MKEx parameters. The maximum likelihood estimators (MLEs) are then investigated and compared to the corresponding ones based on simple random sampling (SRS) and RSS designs. A Monte Carlo simulation is used to obtain the absolute relative biases, mean square errors for the MKEx distribution. Efficiencies are compared for the different designs. The relative efficiency of RSS design was found to increase with increasing the number of cycles, compared with other designs for the MKEx distribution.