Simulation-Based Comparative Analysis of Nonparametric Control Charts with Runs-Type Rules

Ioannis S. Triantafyllou

A chapter in Quality Control - Intelligent Manufacturing, Robust Design and Charts from IntechOpen

Abstract: In this chapter, we study well-known distribution-free Shewhart-type monitoring schemes based on order statistics. In order to empower the in- and out-of-control performance of the control charts being under consideration, several runs-type rules are enhanced. The simulation-based experimentation carried out reveals that the proposed schemes achieve remarkable efficiency for detecting possible shifts in the distribution of the underlying process.

Keywords: distribution-free monitoring schemes; average run length; false alarm rate; Lehmann alternatives; statistical process control; order statistics (search for similar items in EconPapers)
JEL-codes: L15 (search for similar items in EconPapers)
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.intechopen.com/chapters/70939 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ito:pchaps:209581

DOI: 10.5772/intechopen.91040

Access Statistics for this chapter

More chapters in Chapters from IntechOpen
Bibliographic data for series maintained by Slobodan Momcilovic ().