Accurate ARL computation for EWMA-S2 control charts

Author:

Knoth Sven

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability,Theoretical Computer Science

Reference35 articles.

1. Acosta-Mejía C.A. and Pignatiello Jr. J.J. 2000. Monitoring process dispersion without subgrouping. Journal of Quality Technology 32(2): 89–102.

2. Acosta-Mejía C.A., Pignatiello Jr. J.J. and Rao B.V. 1999. A comparison of control charting procedures for monitoring process dispersion. IIE Transactions 31: 569–579.

3. Atkinson K.E. 1976. A survey of numerical methods for the solution of Fredholm integral equations of the second kind. Philadelphia: Society for Industrial and Applied Mathematics SIAM. VII, 230 p.

4. Brook D. and Evans D.A. 1972. An approach to the probability distribution of CUSUM run length. Biometrika 59(3): 539–549.

5. Calzada M.E. and Scariano S.M. 2003. Reconciling the integral equation and Markov chain approaches for computing EWMA average run lengths. Commun. Stat. Simula. Comput. 32(2): 591–604.

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