Cumulative sum (CUSUM) control charts are very effective in detecting special causes. In
general, the underlying distribution is supposed to be normal. In designing a CUSUM chart …

This article studies estimation methods for the location parameter. We consider several
robust location estimators as well as several estimation methods based on a phase I …

Statistical process control (SPC) has its own importance in the field of quality control. In SPC,
control charts are significant tools to monitor process parameters, and exponentially …

Our study explores neutrosophic statistics, an extension of classical and fuzzy statistics, to
address the challenges of data uncertainty. By leveraging accurate measurements of an …

Numerous ratio-type estimators of the population variance are proposed in the existing
literature based on different characteristics of the study as well as the auxiliary variable …

Las medidas convencionales de localización son a menudo usadas con elfin de desarrollar
estimatores de raz ón. Sin embargo, en este artículo, sehace un intento por usar algunas …

In practice, the EWMA control chart for process monitoring is based on parameters estimated
from a retrospective data set representing the process characteristic under study. This data …

In the field of quality control, statistical process control (SPC) has its significance. The control
charts are important tools of the SPC to observe the outputs of the production process. The …

Cumulative sum (CUSUM) and exponentially weighted moving average (EWMA) control
charts are commonly used to detect small changes in the parameters of production …

This article proposes some newly modified ratio estimators for the estimation of population
mean of the study variable by incorporating the maximum value of the auxiliary variable. The …