Results 111 to 120 of about 2,196 (141)

QComics: Recommendations and Guidelines for Robust, Easily Implementable and Reportable Quality Control of Metabolomics Data. [PDF]

Anal Chem
González-Domínguez Á, Estanyol-Torres N, Brunius C, Landberg R, González-Domínguez R.   +4 more
europepmc   +1 more source

Memory type Bayesian adaptive max-EWMA control chart for weibull processes. [PDF]

Sci Rep
A Zaagan A, Khan I, Ayari-Akkari A, Raza A, Ahmad B.   +4 more
europepmc   +1 more source

Early detection of new pandemic waves. Control chart and a new surveillance index. [PDF]

PLoS One
Cildoz M, Gaston M, Frias L, Garcia-Vicuña D, Azcarate C, Mallor F.   +5 more
europepmc   +1 more source

Comprehensive Profiling of Illicit Amphetamines Seized in Poland: Insights from Gas Chromatography-Mass Spectrometry and Chemometric Analysis. [PDF]

Molecules
Czyż A, Pawlak K, Waraksa E, Bieńkowski T.   +3 more
europepmc   +1 more source

Application of FOCUS-PDCA cycle in enhancing the standardization of emergency collaboration among thoracic surgery nurses. [PDF]

Sci Rep
Wang A, Luo Y, Xu H, Fang T.
europepmc   +1 more source

A Semi-Bayesian Method for Shewhart Individual Control Charts

Quality Technology & Quantitative Management, 2006
Keywords: Keywords: Bernstein polynomials, non-parametrics, quality control, semi-Bayesian, statistical process control.
Vermaat, T.M.B., Does, R.J.M.M.
openaire   +3 more sources

Shewhart-Type Control Charts for Individual Observations

Journal of Quality Technology, 1993
Several options in designing a Shewhart-type control chart for individual observations are discussed. A number of possible estimators of the standard deviation are considered. A two-stage procedure is suggested for retrospective testing. Finally, it is ..
Kit C. B. Roes, Ronald J. M. M. Does, Yvonne Schurink   +2 more
openaire   +2 more sources

A Comparison of Shewhart Individuals Control Charts Based on Normal, Non‐parametric, and Extreme‐value Theory

Quality and Reliability Engineering International, 2003
AbstractSeveral control charts for individual observations are compared. Traditional ones are the well‐known Shewhart individuals control charts based on moving ranges. Alternative ones are non‐parametric control charts based on empirical quantiles, on kernel estimators, and on extreme‐value theory.
Does, R.J.M.M., Ion, R.A., Klaassen, C.A.J., Vermaat, T.M.B.   +3 more
openaire   +4 more sources

Shewhart Control Charts for Individuals with Time-Ordered Data

, 1992
The analysis of time-ordered data is of particular interest to the quality engineer and control statistician to whom the time-series plot is a known as a “run chart”. Deming [1982 pp. 112–114 and 1986 pp. 67, 310–314] has been a strong proponent of the use of run charts for the analysis of process data.
M. K. Hart, R. F. Hart
openaire   +2 more sources

Combinations of Shewhart and CUSUM Control Charts for Individual Observations

, 2019
Luan Jaupi
openaire   +2 more sources