We review the literature on statistical process monitoring methods based on neutrosophic
principles. We question some of the underlying assumptions and raise important questions …

The Kolmogorov–Smirnov (K–S) tests based on the assumptions of determined
observations in the sample have been popularly applied for the analysis of the data. The …

The existing analysis of variance (ANOVA) test cannot be applied when the sample is
selected from the population having come imprecise, fuzzy and uncertain observations. The …

The exponential distribution has always been prominent in various disciplines because of its
wide range of applications. In this work, a generalization of the classical exponential …

The fundamentals of neutrosophic statistics provide a new basis for working with
indeterminate data problems. In this study, the notion of the neutrosophic Rayleigh …

The classic split-plot designs are unable to analyze indeterminate and uncertain data
resulting from circumstances beyond our control. To this end, proposing a generalized …

The existing Bartlett's test and Hartley's test under classical statistics can be applied only
when all observations in the sample are determined, precise and determinate. In some …

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 …

In this manuscript, we will originally design a Shewhart attribute control chart under the
neutrosophic statistical interval method. The neutrosophic measures to study the …

Objective The existing post hoc tests under classical statistics have been applied for
analyzing the data having all determined, precise and exact observations. In practice, the …