Control charts for variables and the use of imputation methods

  1. Hontoria, E. 1
  2. Campuzano-Bolarín, F. 1
  3. Álvarez-Verdejo, E. 2
  4. Muñoz, J.F. 2
  1. 1 Universidad Politécnica de Cartagena
    info

    Universidad Politécnica de Cartagena

    Cartagena, España

    ROR https://ror.org/02k5kx966

  2. 2 Universidad de Granada
    info

    Universidad de Granada

    Granada, España

    ROR https://ror.org/04njjy449

Konferenzberichte:
2nd International Virtual Scientific Conference (SCIECONF)

Verlag: EDIS - Publishing Institution of the University of Zilina

ISSN: 1339-3561

ISBN: 978-80-554-0891-0

Datum der Publikation: 2014

Seiten: 26-29

Art: Konferenz-Beitrag

GOOGLE SCHOLAR

Zusammenfassung

Control charts for variables are very common tools used to monitor the quality of business processes. In practice, the problem of missing data could occur and control charts could suffer from various drawbacks under this situation. A practical solution is to use an imputation method, which consists in substituting the missing values with plausible values. In this paper, we discuss various simple imputation methods in the context of control charts for variables.