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Stelios Psarakis
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Multivariate statistical process control charts: an overview
S Bersimis, S Psarakis, J Panaretos
Quality and Reliability engineering international 23 (5), 517-543, 2007
8382007
Monitoring the coefficient of variation using EWMA charts
P Castagliola, G Celano, S Psarakis
Journal of Quality Technology 43 (3), 249-265, 2011
2022011
Some recent developments on the effects of parameter estimation on control charts
S Psarakis, AK Vyniou, P Castagliola
Quality and Reliability Engineering International 30 (8), 1113-1129, 2014
1872014
SPC procedures for monitoring autocorrelated processes
S Psarakis, GEA Papaleonida
Quality Technology & Quantitative Management 4 (4), 501-540, 2007
1332007
Review of multinomial and multiattribute quality control charts
E Topalidou, S Psarakis
Quality and Reliability Engineering International 25 (7), 773-804, 2009
1242009
Monitoring the coefficient of variation using a variable sampling interval control chart
P Castagliola, A Achouri, H Taleb, G Celano, S Psarakis
Quality and Reliability Engineering International 29 (8), 1135-1149, 2013
1092013
EWMA chart and measurement error
P Maravelakis, J Panaretos, S Psarakis
Journal of Applied Statistics 31 (4), 445-455, 2004
1092004
Monitoring the coefficient of variation using control charts with run rules
P Castagliola, A Achouri, H Taleb, G Celano, S Psarakis
Quality Technology & Quantitative Management 10 (1), 75-94, 2013
992013
Monitoring the coefficient of variation using a variable sample size control chart
P Castagliola, A Achouri, H Taleb, G Celano, S Psarakis
The International Journal of Advanced Manufacturing Technology 80, 1561-1576, 2015
912015
Exploratory factor analysis for the Hirsch index, 17 h-type variants, and some traditional bibliometric indicators
M Schreiber, CC Malesios, S Psarakis
Journal of Informetrics 6 (3), 347-358, 2012
832012
Multivariate statistical process control charts and the problem of interpretation: a short overview and some applications in industry
S Bersimis, J Panaretos, S Psarakis
arXiv preprint arXiv:0901.2880, 2009
782009
Monitoring nonlinear profiles using support vector machines
JM Moguerza, A Muñoz, S Psarakis
Progress in Pattern Recognition, Image Analysis and Applications: 12th …, 2007
762007
An examination of the robustness to non normality of the EWMA control charts for the dispersion
PE Maravelakis, J Panaretos, S Psarakis
Communications in Statistics—Simulation and Computation® 34 (4), 1069-1079, 2005
762005
A review of machine learning kernel methods in statistical process monitoring
A Apsemidis, S Psarakis, JM Moguerza
Computers & Industrial Engineering 142, 106376, 2020
722020
Effect of estimation of the process parameters on the control limits of the univariate control charts for process dispersion
PE Maravelakis, J Panaretos, S Psarakis
Communications in Statistics-Simulation and Computation 31 (3), 443-461, 2002
672002
Identifying the out of control variable in a multivariate control chart
PE Maravelakis, S Bersimis, J Panaretos, S Psarakis
Communications in Statistics-Theory and methods 31 (12), 2391-2408, 2002
662002
The folded t distribution
S Psarakis, J Panaretoes
Communications in Statistics-Theory and Methods 19 (7), 2717-2734, 1990
661990
The use of neural networks in statistical process control charts
S Psarakis
Quality and Reliability Engineering International 27 (5), 641-650, 2011
652011
Adaptive control charts: recent developments and extensions
S Psarakis
Quality and Reliability Engineering International 31 (7), 1265-1280, 2015
622015
The application of multivariate statistical process monitoring in non-industrial processes
S Bersimis, A Sgora, S Psarakis
Quality Technology & Quantitative Management 15 (4), 526-549, 2018
562018
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