In this paper, we proposed a new quality control chart for the sample mean based on a cost free and anti wasting sampling unit’s scheme known by the folded ranked set sampling (FRSS). The new control charts were compared with the classical control charts when the data obtained by using simple random sampling (SRS) and ranked set sampling (RSS). A simulation study showed that the FRSS based cont...

The cumulative sum (CUSUM) control chart is widely used in industry for the detection of small and moderate shifts in process location and dispersion. For efficient monitoring of process variability, we present several CUSUM control charts for monitoring changes in standard deviation of a normal process. The newly developed control charts based on well-structured sampling techniques - extreme r...

Stress-strength models are considered of great significance due to their applicability in varied fields. We address the estimation system reliability a multicomponent stress-strength model, say Rs,k, an s out k when pair stress and strengths drawn from generalized inverted exponential distribution. The is deemed as working if at least be more than its stress. obtain estimators data strength dis...

Abstract In the current paper, we considered Fisher information matrix from generalized Rayleigh distribution (GR) in ranked set sampling (RSS). The numerical results show that sample carries more about λ and α than a simple random of equivalent size. order to give insight into performance RSS with respect (w.r.t.) (SRS), modified unbiased estimator best linear (BLUE) scale shape GR SRS are stu...

Ranked set sampling is one method to potentially increase precision and reduce costs by using quantitative or qualitative information obtain a more representative sample. Use of auxiliary has shown its significance in improvement efficiency estimators unknown population parameters. Ratio estimator used when the form mean variable at estimation stage for parameters study are positively correlate...

A modification of ranked set sampling (RSS) called maximum ranked set sampling with unequal sample (MRSSU) is considered for the Bayesian estimation of scale parameter α of the Weibull distribution. Under this method, we use Linex loss function, conjugate and Jeffreys prior distributions to derive the Bayesian estimate of α. In order to measure the efficiency of the obtained Bayesian estimates ...