Foto del docente

Michele Scagliarini

Associate Professor

Department of Statistical Sciences "Paolo Fortunati"

Academic discipline: SECS-S/01 Statistics

Publications

M. Scagliarini; S. Evangelisti, Assessing Multivariate Measurement Systems in Multisite Testing, in: Proceedings of the XLVI Scientific Meeting of the Italian Statistical Society, PADOVA, CLEUP, 2012, pp. 1 - 4 (atti di: XLVI Scientific Meeting of the Italian Statistical Society, Roma, June 20-22, 2012) [Contribution to conference proceedings]

M. Scagliarini; E. Santos-Fernández, MPCI: An R Package for Computing Multivariate Process Capability Indices, «JOURNAL OF STATISTICAL SOFTWARE», 2012, 47, pp. 1 - 15 [Scientific article]

E. Santos-Fernandez; M.Scagliarini, MPCI: Multivariate Process Capability Indices (MPCI), 2012. [Software]

M. Scagliarini; D. Cocchi, Effects of the two-component measurement error model on X-bar control charts, «STATISTICA», 2011, 71, pp. 307 - 327 [Scientific article]

Tuci, A.; Tonon, F.; Castellani, L.; Sartini, A.; Roda, G.; Marocchi, M.; Caponi, A.; Munarini, A.; Rosati, G; Ugolini, G.; Fuccio, L.; Scagliarini, M; Bazzoli, F.; Belluzzi, A., Fecal Detection of Mycobacterium avium Paratuberculosis Using the IS900 DNA Sequence in Crohn’s Disease and Ulcerative Colitis Patients and Healthy Subjects, «DIGESTIVE DISEASES AND SCIENCES», 2011, 56, pp. 2957 - 2962 [Scientific article]

M. Scagliarini, Multivariate process capability using principal component analysis in the presence of measurement errors, «ASTA ADVANCES IN STATISTICAL ANALYSIS», 2011, 95, pp. 113 - 128 [Scientific article]

M. Scagliarini, On the assessment of multivariate measurement systems, in: SCo 2011, Conference Program and Book of Abstracts, PADOVA, CLEUP, 2011, pp. 31 - 31 (atti di: SCo 2011 7th Conference on Statistical Computation and Complex Systems, Padova, September 19-21, 2011) [Abstract]

M. Scagliarini, ON THE ASSESSMENT OF MULTIVARIATE MEASUREMENT SYSTEMS, in: SCo 2011 Proceedings, PADOVA, CLEUP, 2011, pp. 1 - 6 (atti di: SCo 2011 7th Conference on Statistical Computation and Complex Systems, Padova, September 19-21, 2011) [Contribution to conference proceedings]

Michele, Scagliarini; Stefania, Evangelisti, On the Use of Principal Component Analysis for Assessing Multivariate Process Capability, in: CLADAG 2011, Book of Abstracts, Pavia, Pavia University Press, 2011, pp. 46 - 46 (atti di: CLADAG 2011 8th Scientific Meeting of the CLAssification and Data Analysis Group of the Italian Statistical Society, University of Pavia, September 7-9, 2011) [Contribution to conference proceedings]

M. Scagliarini; S. Evangelisti, On the use of principal component analysis for assessing multivariate process capability, in: CLAGAD 2011, Short Paper Proceedings, USB pen drive, s.l, s.n, 2011, pp. 1 - 4 (atti di: CLADAG 2011, 8th Scientific Meeting of the CLAssification and Data Analysis Group of the Italian Statistical Society, Pavia, September 7-9, 2011) [Contribution to conference proceedings]

M. Scagliarini; S.Evangelisti, On the Use of Principal Components for Assessing Multivariate Process Capability, in: CLADAG 2011 Book of Abstracts, PAVIA, Pavia University Press, 2011, pp. 46 - 46 (atti di: CLADAG 2011, 8th Scientific Meeting of the CLAssification and Data Analysis Group of the Italian Statistical Society, University of Pavia, September 7-9, 2011) [Abstract]

Daniela Cocchi; Michele Scagliarini, A robust approach for assessing misclassification rates under the two-component measurement error model, «APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY», 2010, 26, pp. 389 - 400 [Scientific article]

M. Scagliarini, Assessing Multivariate Process Capability in the Presence of Measurements Errors, in: Measurement Systems and Process Improvement (MSPI) 2010 Book of Abstracts, TEDDINGTON, s.n, 2010, pp. 45 - 45 (atti di: Measurement Systems and Process Improvement (MSPI) 2010, ENBIS-IMEKO TC21 Workshop., National Physical Laboratory, Teddington, UK., 19-20 April 2010, Book of Abstracts, pp. 45.) [Abstract]

Scagliarini, Assessing Multivariate Process Capability in the Presence of Measurements Errors, in: ENBIS - IMEKO TC21 Workshop on Measurement Systems and Process Improvement 2010, New York, Curran Associates, Inc., 2010, pp. 592 - 601 (atti di: ENBIS-IMEKO TC21 Workshop on Measurement Systems and Process Improvement (MSPI) 2010, Teddington, Middlesex, 19-20 Aprile) [Contribution to conference proceedings]

M. Scagliarini, Inference on Cpk for autocorrelated data in the presence of random measurement errors, «JOURNAL OF APPLIED STATISTICS», 2010, 37, pp. 147 - 158 [Scientific article]