CONTROL CHARTS FOR STATIONARY VECTOR ARMA PROCESSES

Authors

  • J. Yadavalli Department of Industrial and Systems Engineering, University of Pretoria
  • S.J. Claasen Department of Industrial and Systems Engineering, University of Pretoria
  • N. Singh Department of Statistics, Unisa

DOI:

https://doi.org/10.7166/14-1-296

Abstract

ENGLISH ABSTRACT: In practice, there are many quality control situations where a product under consideration may have two or more interrelated quality characteristics and observations of each characteristic are serially correlated. One of the objectives of management is to investigate whether or not all these characteristics of the product simultaneously satisfy the required specifications. To the author's best knowledge, no concrete attempts have been made so far to construct the control charts for such situations, particularly when the data arise from vector autoregressive-moving average (VARMA) processes. It is this problem that has been addressed in this paper. A few methods are suggested for constructing the control charts. When assumptions about independence and normality break down, a bootstrap method, perhaps for the first time, is suggested to attack the problem. Some illustrative examples are discussed.

AFRIKAANSE OPSOMMING: In die praktyk is daar vele kwaliteitbeheersituasies waar 'n betrokke produk een of twee onderling verbonde kenmerke kan h

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Published

2011-11-05

How to Cite

Yadavalli, J., Claasen, S., & Singh, N. (2011). CONTROL CHARTS FOR STATIONARY VECTOR ARMA PROCESSES. The South African Journal of Industrial Engineering, 14(1). https://doi.org/10.7166/14-1-296

Issue

Vol. 14 No. 1 (2003)

Section

General Articles

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