References
- Abramowitz, M. and Stegun, I. A., Eds. (1965). Handbook of Mathematical Functions. Dover Publications, New York, NY.
- Collani, E. V.; Saniga, E.; and Weigand, C. (1994). “Economic Adjustment Designs for X̄ Control Charts”. IIE Transactions 26, pp. 37–43.
- Kronrod, A. S. (1965). Nodes and Weights of Quadrature Formulas. Consultants Bureau Publishers, New York, NY.
- Lorenzen, T. J. and Vance, L. C. (1986). “The Economic Design of Control Charts: A Unified Approach”. Technometrics 28, pp. 3–10.
- McWilliams, T. P. (1994). “Economic, Statistical, and Economic- Statistical X̄ Chart Designs”. Journal of Quality Technology 26, pp. 227–238.
- Pearson, E. S. and Hartley, H. O. (1942). “The Probability Integral of the Range in Samples of Observation from a Normal Population”. Biometrika 32, pp. 301–310.
- Rahim, M. A. (1989). “Determination of Optimal Design Parameters of Joint X̄ and R Charts”. Journal of Quality Technology 21, pp. 65–70.
- Saniga, E. (1977). “Joint Economically Optimal Design of X̄ and R Control Charts”. Management Science 24, pp. 420–431.
- Saniga, E. (1979). “Joint Economic Design of X̄/R Control Charts with Alternate Process Models”. AIIE Transactions 11, pp. 254–260.
- Saniga, E. (1989). “Economic-statistical Design of Control Charts with an Application to X̄ and R Charts”. Technometrics 31, pp. 313–320.
- Saniga, E. (1991). “Joint Statistical Design of X̄ and R Control Charts”. Journal of Quality Technology 23, pp. 156–162.
- Saniga, E. (1992). “Robustness and Flexibility of Economic Statistical Designs” in Frontiers in Statistical Quality Control 4 edited by P. T. Lenz, G. B. Wetherill and H.-J. Wilrich. Physica-Verlag, Berlin, Germany.
- Saniga, E. and Shirland, L. (1977). “Quality Control in Practice: A Survey”. Quality Progress 10, pp. 30–33.
- Saniga, E.; Davis, D.; and McWilliams, T. (1995). “Economic, Statistical, and Economic-statistical Design of Attribute Charts”. Journal of Quality Technology 27, pp. 56–73.
- Woodall, W. H. (1985). “The Statistical Design of Quality Control Charts”. The Statistician 34, pp. 155–160.