The computation of accuracy of quality parameters by means of a monte carlo simulation

The bootstrap methodology is applied to control quality of an industrial production according to the specifications required by th costumer. A comparison between the approach based on the capability index and normality assumptions, and the bootstrap approach is given using real and simulated data. T...

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Veröffentlicht in:	Communications in statistics. Simulation and computation 1999-01, Vol.28 (3), p.821-848
Hauptverfasser:	Ciarlini, P., Gigli, A., Regoliosi, G.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applications bootstrap capability index Distribution theory Exact sciences and technology Mathematics Probability and statistics Reliability, life testing, quality control Sciences and techniques of general use statistical process control Statistics
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	The bootstrap methodology is applied to control quality of an industrial production according to the specifications required by th costumer. A comparison between the approach based on the capability index and normality assumptions, and the bootstrap approach is given using real and simulated data. The procedure allows to estimate tail probabilities even in regions not supported by data, with an accuracy independent of the sample variance also when data are no "nearly" normal.
ISSN:	0361-0918 1532-4141
DOI:	10.1080/03610919908813580