Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Schalk William Human"'
Publikováno v:
Mathematics, Vol 12, Iss 5, p 637 (2024)
The homogeneously weighted moving average (HWMA) chart is a recent control chart that has attracted the attention of many researchers in statistical process control (SPC). The HWMA statistic assigns a higher weight to the most recent sample, and the
Externí odkaz:
https://doaj.org/article/fa602ee005934d118085e675bf3861c4
Publikováno v:
Quality and Reliability Engineering International. 35:224-245
Publikováno v:
Journal of Statistical Computation and Simulation. 88:1759-1781
Distribution-free control charts gained momentum in recent years as they are more efficient in detecting a shift when there is a lack of information regarding the underlying process distribution. H...
Publikováno v:
Communications in Statistics - Simulation and Computation. 46:7790-7817
Shewhart-type attribute charts are known to be inefficient for small changes in monitoring nonconformities. An alternative way is to use a time-weighted chart to monitor the time between events (TB...
Autor:
Narayanaswamy Balakrishnan, Niladri Chakraborty, Subhabrata Chakraborti, Schalk William Human
Publikováno v:
Quality and Reliability Engineering International. 32:2835-2845
Research of the first author was supported in part by STATOMET at the University of Pretoria, South Africa and National Research Foundation through the SARChI Chair at the University of Pretoria, South Africa.
Publikováno v:
Communications in Statistics - Theory and Methods. 43:4723-4748
Runs-rules are typically incorporated in control charts to increase their sensitivity to detect small process shifts. However, a drawback of this approach is that runs-rules charts are unable to detect large shifts quickly. In this article improved r
Publikováno v:
Communications in Statistics. Part A, Theory and Methods 41 (2012) 18
Communications in Statistics. Part A, Theory and Methods, 41(18), 3339-3354
Communications in Statistics. Part A, Theory and Methods, 41(18), 3339-3354
In this article, the non central bivariate Kummer-beta Type IV distribution is introduced and derived via the Laplace transform of the non central bivariate beta distribution by Gupta et al. (2011 ). We focus on and discuss the central bivariate Kumm
Publikováno v:
Statistical Papers. 53:1045-1064
In Statistical Process Control (SPC) there exists a need to model the run-length distribution of a Q-chart that monitors the process mean when measurements are from an exponential distribution with an unknown parameter. To develop exact expressions f
Publikováno v:
Journal of Applied Statistics. 38:2071-2087
The traditional exponentially weighted moving average (EWMA) chart is one of the most popular control charts used in practice today. The in-control robustness is the key to the proper design and implementation of any control chart, lack of which can
Publikováno v:
Computational Statistics & Data Analysis. 55:2490-2503
Nonparametric control charts can provide a robust alternative in practice to the data analyst when there is a lack of knowledge about the underlying distribution. A nonparametric exponentially weighted moving average (NPEWMA) control chart combines t