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Michele Scagliarini

Personal Details

First Name:Michele
Middle Name:
Last Name:Scagliarini
Suffix:
RePEc Short-ID:psc973
https://www.unibo.it/sitoweb/michele.scagliarini

Affiliation

Dipartimento di Scienze Statistiche "Paolo Fortunati"
Alma Mater Studiorum - Università di Bologna

Bologna, Italy
http://www.stat.unibo.it/
RePEc:edi:dsbolit (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Michele Scagliarini, 2016. "A sequential hypothesis testing procedure for the process capability index Cpk," Quaderni di Dipartimento 5, Department of Statistics, University of Bologna.
  2. Michele Scagliarini & Raffaele Vermiglio, 2007. "Computing Multivariate Process Capability Indices With Microsoft Excel," Quaderni di Dipartimento 1, Department of Statistics, University of Bologna.
  3. Daniela Cocchi & Michele Scagliarini, 2007. "Control Charts and the Effect of the Two-Component Measurement Error Model," Quaderni di Dipartimento 2, Department of Statistics, University of Bologna.
  4. Michele Scagliarini, 1997. "Lo studio dell'inquinamento atmosferico urbano da monossido di carbonio nella città di Bologna mediante un modello autoregressivo vettoriale," Quaderni di Dipartimento 0, Department of Statistics, University of Bologna.
  5. Silvano Bordignon & Michele Scagliarini, 1997. "Rilevazione di cambiamenti in processi dinamici: un'applicazione ad un analizzatore di ozono," Quaderni di Dipartimento 3, Department of Statistics, University of Bologna.
  6. Silvano Bordignon & Michele Scagliarini, 1997. "Rilevazione di cambiamenti in processi dinamici: un'applicazione ad un analizzatore di ozono," Quaderni di Dipartimento 0, Department of Statistics, University of Bologna.
  7. Michele Scagliarini, 1997. "Lo studio dell'inquinamento atmosferico urbano da monossido di carbonio nella città di Bologna mediante un modello autoregressivo vettoriale," Quaderni di Dipartimento 2, Department of Statistics, University of Bologna.
  8. Michele Scagliarini & Raffaele Vermiglio, "undated". "Computing Multivariate Process Capability Indices With Microsoft Excel," Quaderni di Dipartimento 0, Department of Statistics, University of Bologna.

Articles

  1. Michele Scagliarini & Rosanna Gualdi & Giuseppe Ottaviano & Antonietta Rizzo, 2023. "Detection of anomalous radioxenon concentrations: A distribution‐free approach," Environmetrics, John Wiley & Sons, Ltd., vol. 34(7), November.
  2. Michele Scagliarini, 2022. "A sequential test and a sequential sampling plan based on the process capability index Cpmk," Computational Statistics, Springer, vol. 37(3), pages 1523-1550, July.
  3. Michele Scagliarini & Nunzia Boccaforno & Marco Vandi, 2021. "Comparison of control charts for Poisson count data in health‐care monitoring," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 37(1), pages 139-154, January.
  4. Michele Scagliarini & Andrea Belluzzi & Elonora Scaioli & Carla Cardamone, 2016. "Probabilistic assessment of symptomless inflammation in Crohn's Disease patients," Statistica, Department of Statistics, University of Bologna, vol. 76(4), pages 301-314.
  5. Michele Scagliarini & Mariarosaria Apreda & Ulrich Wienand & Giorgia Valpiani, 2016. "Exponentially Weighted Moving Average Control Schemes for Assessing Hospital Organizational Performance," Statistica, Department of Statistics, University of Bologna, vol. 76(2), pages 127-139.
  6. Lorenzo Fuccio & Michele Scagliarini & Giorgio Battaglia, 2014. "Complications risk assessment for esophageal stent positioning," Statistica, Department of Statistics, University of Bologna, vol. 74(3), pages 351-364.
  7. Santos-Fernández, Edgar & Scagliarini, Michele, 2012. "MPCI: An R Package for Computing Multivariate Process Capability Indices," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 47(i07).
  8. Daniela Cocchi & Michele Scagliarini, 2011. "Effects of the two-component measurement error model on X control charts," Statistica, Department of Statistics, University of Bologna, vol. 71(3), pages 307-327.
  9. Michele Scagliarini, 2011. "Multivariate process capability using principal component analysis in the presence of measurement errors," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(2), pages 113-128, June.
  10. Michele Scagliarini, 2010. "Inference on Cpk for autocorrelated data in the presence of random measurement errors," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(1), pages 147-158.
  11. Daniela Cocchi & Michele Scagliarini, 2010. "A robust approach for assessing misclassification rates under the two‐component measurement error model," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 26(4), pages 389-400, July.
  12. Silvano Bordignon & Michele Scagliarini, 2001. "Statistical analysis of process capability indices with measurement errors: The case ofC p," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 10(1), pages 273-285, January.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

    Sorry, no citations of working papers recorded.

Articles

  1. Michele Scagliarini & Mariarosaria Apreda & Ulrich Wienand & Giorgia Valpiani, 2016. "Exponentially Weighted Moving Average Control Schemes for Assessing Hospital Organizational Performance," Statistica, Department of Statistics, University of Bologna, vol. 76(2), pages 127-139.

    Cited by:

    1. Che-Wei Chang, 2020. "Constructing a Novel Early Warning Algorithm for Global Budget Payments," Mathematics, MDPI, vol. 8(11), pages 1-11, November.

  2. Santos-Fernández, Edgar & Scagliarini, Michele, 2012. "MPCI: An R Package for Computing Multivariate Process Capability Indices," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 47(i07).

    Cited by:

    1. Linhan Ouyang & Yizhong Ma & Jianxiong Chen & Zhigang Zeng & Yiliu Tu, 2016. "Robust optimisation of Nd: YLF laser beam micro-drilling process using Bayesian probabilistic approach," International Journal of Production Research, Taylor & Francis Journals, vol. 54(21), pages 6644-6659, November.

  3. Michele Scagliarini, 2011. "Multivariate process capability using principal component analysis in the presence of measurement errors," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(2), pages 113-128, June.

    Cited by:

    1. Daniela F. Dianda & Marta B. Quaglino & José A. Pagura, 2018. "Impact of measurement errors on the performance and distributional properties of the multivariate capability index $$\mathbf{NMC }_\mathbf{pm }$$ NMC pm," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 102(1), pages 117-143, January.

  4. Michele Scagliarini, 2010. "Inference on Cpk for autocorrelated data in the presence of random measurement errors," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(1), pages 147-158.

    Cited by:

    1. Michele Scagliarini, 2011. "Multivariate process capability using principal component analysis in the presence of measurement errors," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(2), pages 113-128, June.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (1) 2016-10-02

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