IJPAM: Volume 79, No. 1 (2012)

NONPARAMETRIC CONTROL CHARTS FOR BIVARIATE
HIGH-QUALITY PROCESSES

Willem Albers
Department of Applied Mathematics
University of Twente
P.O. Box 217, 7500 AE Enschede, THE NETHERLANDS


Abstract. For attribute data with (very) low rates of defectives, attractive control charts can be based on the maximum of subsequent groups of $r$ failure times, for some suitable $r \geq 1$, like $r=5$. Such charts combine good performance with often highly needed robustness, as they allow a nonparametric adaptation already for Phase I samples of ordinary size. In the present paper we address the problem of extending this approach to the situation where two characteristics have to be monitored simultaneously. Generalization to the multivariate case is straightforward.

Received: July 2, 2012

AMS Subject Classification: 62P10, 62H10, 62C05

Key Words and Phrases: Statistical Process Control, health care monitoring, average run length, estimated parameters, order statistics

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Source: International Journal of Pure and Applied Mathematics
ISSN printed version: 1311-8080
ISSN on-line version: 1314-3395
Year: 2012
Volume: 79
Issue: 1