17 Apr 2026
Monitoring of time-between-events using a bivariate exponential model integrated with machine learning for cryptocurrency tradingPublisher siteExpert Systems with Applications, Financial Risk and Volatility Modeling
Active, last published 2026
In advanced statistical process monitoring
Jean‐Claude
Malela‐Majika
Scholar“Research focused on Advanced Statistical Process Monitoring and adjacent fields.”
University of Pretoria
South Africa17
H-index
813
Citations
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01 · About the work
What I study
ean‐Claude Malela‐Majika is a researcher working on Advanced Statistical Process Monitoring. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Jean‐Claude's work has been cited 813 times across 3 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Advanced Statistical Process Monitoring×65Scientific Measurement and Uncertainty Evaluation×40Advanced Statistical Methods and Models×28Fault Detection and Control Systems×20Statistical Distribution Estimation and Applications×7
04 · Where I am
Affiliations
Affiliation on published researchUniversity of Pretoria, South AfricaDrawn from the institution listed on this researcher’s published work.
05 · Selected work
Recent publications
5 works8 Feb 2026Open access
Supplementary information: Analysis of on-farm trials data using linear mixed models when a treatment factor comprises both fixed and random levelsPublisher siteZenodo (CERN European Organization for Nuclear Research)
8 Feb 2026Open access
Supplementary information: Analysis of on-farm trials data using linear mixed models when a treatment factor comprises both fixed and random levelsPublisher siteZenodo (CERN European Organization for Nuclear Research)
20 Aug 2025Open access1cites
Process capability indices for Marshall–Olkin inverse log-logistic distributionPublisher siteAfrika Matematika, Advanced Statistical Process Monitoring
11 Nov 2024Open access4cites
Hotelling T<sup>2</sup> control chart based on minimum vector variance for monitoring high‐dimensional correlated multivariate processPublisher siteQuality and Reliability Engineering International, Advanced Statistical Process Monitoring
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