Results 21 to 30 of about 937,732 (286)
Nonparametric Double EWMA Control Chart for Process Monitoring
Revista Colombiana de Estadística, 2016 In monitoring process parameters, we assume normality of the quality characteristic of interest, which is an ideal assumption. In many practical situations, we may not know the distributional behavior of the data, and hence, the need arises use ...
MUHAMMAD RIAZ, SADDAM AKBER ABBASI
doaj +1 more source
Connection Science, 2022 The mixed control chart is proposed to improve detection performance with fewer process shifts. In this study, we proposed the modified exponentially weighted moving average - moving average control chart (MMEM), a new mixed control chart for observing ...
Khanittha Talordphop +2 more
doaj +1 more source
, 2020 In this study, a robust control chart as an alternative to the Tukey's control chart (TCC) based on the modified trimmed standard deviation (MTSD), namely MTSD-TCC, is proposed. The performance of the proposed and the competing Tukey's control chart (TCC)
M. Abu-Shawiesh +2 more
semanticscholar +1 more source
Evaluation of shoreline change using optical satellite images, case study of Progreso, Yucatán [PDF]
, 2012 A technique to extract the shoreline from optical satellite images has been developed, evaluated and applied to the case study site of Progreso, Yucatán, México.
Garcia-Rubio, Gabriela
core +1 more source
Mathematics, 2022 Shewhart charts are the most commonly utilised control charts for process monitoring in industries with the assumption that the underlying distribution of the quality characteristic is normal. However, this assumption may not always hold true in practice.
Jing Jia Zhou +4 more
doaj +1 more source
Scientific Reports, 2023 In this study, we introduce an Adaptive Exponentially Weighted Moving based Coefficient of Variation (AEWMCV) control chart, designed to address situations where the process mean fluctuates over time and the standard deviation of the process changes ...
Afshan Riaz +5 more
doaj +1 more source
Scientific Reports, 2023 In Statistical Process Control, many techniques exist for monitoring the stability of a process over time. In this work, we study the relationship of the response variable with explanatory variables in the form of linear profiles for detecting changes in
R. Sherwani +4 more
semanticscholar +1 more source
The uncertain representation ranking framework for concept-based video retrieval [PDF]
, 2012 Concept based video retrieval often relies on imperfect and uncertain concept detectors. We propose a general ranking framework to define effective and robust ranking functions, through explicitly addressing detector uncertainty.
Aly, Robin +4 more
core +4 more sources
Water Particles Monitoring in the Atacama Desert: SPC Approach Based on Proportional Data
Axioms, 2021 Statistical monitoring tools are well established in the literature, creating organizational cultures such as Six Sigma or Total Quality Management. Nevertheless, most of this literature is based on the normality assumption, e.g., based on the law of ...
Anderson Fonseca +6 more
doaj +1 more source
On the Efficient Monitoring of Multivariate Processes with Unknown Parameters
Mathematics, 2020 Control charts are commonly used tools that deal with monitoring of process parameters in an efficient manner. Multivariate control charts are more practical and are of greater importance for timely detection of assignable causes in multiple quality ...
Nasir Abbas +4 more
doaj +1 more source