JDS Journal of Data Science 1680-743X 1680-743X SOSRUC 4-326 10.6339/JDS.201910_17(4).0004 Research Article Estimation of the Inverse Weibull Parameters Under Ranked Set Sampling Salem Samia A. Department of Statistics, Faculty of Commerce, Zagazig University, Egypt. Nassar Mazen Department of Statistics, Faculty of Commerce, Zagazig University, Egypt. Hozaien Hanem E. Department of Statistics, Faculty of Commerce, Al- Azhar University, Egypt. 17 4 696 711

In this paper we use the maximum likelihood (ML) and the modified maximum likelihood (MML) methods to estimate the unknown parameters of the inverse Weibull (IW) distribution as well as the corresponding approximate confidence intervals. The estimates of the unknown parameters are obtained based on two sampling schemes, namely, simple random sampling (SRS) and ranked set sampling (RSS). Comparison between the different proposed estimators is made through simulation via their mean square errors (MSE), Pitman nearness probability (PN) and confidence length.

 Inverse Weibull maximum likelihood modified maximum likelihood ranked set sampling