Jean-Claude Malela-Majika
Orcid: 0000-0001-7236-7678
According to our database1,
Jean-Claude Malela-Majika
authored at least 28 papers
between 2017 and 2024.
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Bibliography
2024
Soft Comput., March, 2024
Enhanced distribution-free Cucconi schemes based on runs: An application to the surveillance of daily average customer service time.
Comput. Ind. Eng., 2024
2023
A new multivariate extended homogeneously weighted moving average monitoring scheme incorporated with a support vector machine.
Qual. Reliab. Eng. Int., October, 2023
Double sampling monitoring schemes: a literature review and some future research ideas.
Commun. Stat. Simul. Comput., August, 2023
2022
A novel single composite Shewhart-EWMA control chart for monitoring the process mean.
Qual. Reliab. Eng. Int., 2022
Qual. Reliab. Eng. Int., 2022
Shewhart-type monitoring schemes with supplementary w-of-w runs-rules to monitor the mean of autocorrelated samples.
Commun. Stat. Simul. Comput., 2022
A side-sensitive double sampling X¯ monitoring scheme with estimated process parameters.
Commun. Stat. Simul. Comput., 2022
Distribution-free mixed GWMA-CUSUM and CUSUM-GWMA Mann-Whitney charts to monitor unknown shifts in the process location.
Commun. Stat. Simul. Comput., 2022
Monitoring univariate and multivariate profiles using the triple exponentially weighted moving average scheme with fixed and random explanatory variables.
Comput. Ind. Eng., 2022
Univariate and Multivariate Linear Profiles Using Max-Type Extended Exponentially Weighted Moving Average Schemes.
IEEE Access, 2022
2021
The effect of measurement errors on the performance of the homogenously weighted moving average X¯ monitoring scheme.
Trans. Inst. Meas. Control, 2021
Combined effect of autocorrelation and measurement errors on the adaptive X¯ monitoring schemes.
Trans. Inst. Meas. Control, 2021
The use of fast initial response features on the homogeneously weighted moving average chart with estimated parameters under the effect of measurement errors.
Qual. Reliab. Eng. Int., 2021
Distribution-free double-sampling precedence monitoring scheme to detect unknown shifts in the location parameter.
Qual. Reliab. Eng. Int., 2021
A hybrid homogeneously weighted moving average control chart for process monitoring: Discussion.
Qual. Reliab. Eng. Int., 2021
Qual. Reliab. Eng. Int., 2021
Distribution-free composite Shewhart-GWMA Mann-Whitney charts for monitoring the process location.
Qual. Reliab. Eng. Int., 2021
Distribution-free triple EWMA control chart for monitoring the process location using the Wilcoxon rank-sum statistic with fast initial response feature.
Qual. Reliab. Eng. Int., 2021
A new double sampling X¯ control chart for monitoring an abrupt change in the process location.
Commun. Stat. Simul. Comput., 2021
A new double sampling scheme to monitor the process mean of autocorrelated observations using an AR(1) model with a skip sampling strategy.
Comput. Ind. Eng., 2021
Overall Performance Comparison of Homogeneously Weighted Moving Average and Double Homogeneously Weighted Moving Average Schemes.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2021
2020
On monitoring the process mean of autocorrelated observations with measurement errors using the w-of-w runs-rules scheme.
Qual. Reliab. Eng. Int., 2020
Parameter Estimation Effect of the Homogeneously Weighted Moving Average Chart to Monitor the Mean of Autocorrelated Observations With Measurement Errors.
IEEE Access, 2020
2019
One-sided runs-rules schemes to monitor autocorrelated time series data using a first-order autoregressive model with skip sampling strategies.
Qual. Reliab. Eng. Int., 2019
Modified side-sensitive synthetic double sampling monitoring scheme for simultaneously monitoring the process mean and variability.
Comput. Ind. Eng., 2019
2018
Shewhart control schemes with supplementary 2-of-(h + 1) side-sensitive runs-rules under the Burr-type XII distribution.
Qual. Reliab. Eng. Int., 2018
2017
Distribution-free mixed cumulative sum-exponentially weighted moving average control charts for detecting mean shifts.
Qual. Reliab. Eng. Int., 2017