EWMA Control Charts to Monitor Correlation Coefficients

  • Published : 1999.08.01

Abstract

Multivariate EWMA control charts to simultaneously monitor correlation coefficients of correlated quality characteristics under multivariate normal process are proposed. Performances of the proposed charts are measured in terms of average run length(ARL). Numerical results show that smalle values for smoothing constant with accumulate-combine approach are preferred for detecting smalle shifts.

Keywords

References

  1. The Encyclopedia of statistical Sciences Multivariate Control Charts Alt, F.B.;S. Kotx(ed.);N.L. Johnson(ed.)
  2. Normal Approximation and Asymptotic Expansions Bhattacharyya, R.N.;Rao, R.R.
  3. Technometrics v.30 Multivariate Generalization of Cumulative Sum Quality-Control Scheme Crosier, R.B.
  4. Multivariate Quality Control, Techniques of Statistical Analysis Hotelling, H.
  5. Communications in Statistics-Theory and Method v.14 Multivariate Quality Control Jackson, J.E.
  6. Journal of the Korean Society for Quality Management v.26 Control Chart for Correlation Coefficients of Correlated Quality Variables Kim, J.J.;Chand, D.J.
  7. Technometrics v.34 A Multivariate Exponentially Weighted Moving Average Control Charts Lowry, C.A.;Woodall, W.H.;Champ, C.W.;Rigdon, S.E.
  8. Journal of Quality Technology v.29 Assessment of Multivariate Process Control Techniques Mason, R.L.;Champ, C.W.;Tracy, N.D.;Wierda, S.J.;Young, J.C.
  9. Journal of Quality Technology v.22 Comparisons of Multivariate CUSUM Charts Pignatiello, J.J. Jr.;Runger, G.C.
  10. Journal of Quality Technology v.29 Designing a Multivariate EWMA Control Chart Prabhu, S.S.;Runger, G.C.
  11. Approximation Theorems of Mathematical Statistics Serfling, R.J.