References
- ASTM (1986). “Standard Practice E 177–86 for Use of the Terms Precision and Bias in ASTM Test Methods”. American Society for Testing and Materials, Philadelphia, PA.
- Box, G. E. P.; Hunter, W. G.; and Hunter, J. S. (1978). Statistics for Experimenters. John Wiley & Sons, New York, NY.
- General Motors Corporation (1986). “Measurement Systems Analysis”. In-house booklet, General Motors Corporation, Hydramatic Division.
- Hemmerle, W. J. and Hartley, H. O. (1973). “Computing Maximum Likelihood Estimates for the Mixed A.O.V. Model Using the W Transformation”. Technometrics 15, pp. 819–31.
- Henderson, C. R. (1953). “Estimation of Variance and Covariance Components”. Biometrics 9, pp. 226–52.
- Hogg, R. V. and Ledolter, J. (1987). Engineering Statistics. Macmillan, New York, NY.
- MacKay, J. (1991). “Measurement System Studies”. IIQP Newsletter, Spring 1991. Institute for Improvement in Quality and Productivity, University of Waterloo, Waterloo, Ont., Canada.
- Mason, R. L.; Gunst, R. F.; and Hess, J. L. (1989). Statistical Design and Analysis of Experiments with Applications to Engineering and Science. John Wiley & Sons, New York, NY.
- McCullagh, P. and Nelder, J. A. (1989). Generalized Linear Models. Chapman and Hall, New York, NY.
- Montgomery, D. C. (1984). Design & Analysis of Experiments, 2nd ed. John Wiley & Sons, New York, NY.
- Patterson, H. D. and Thompson, R. (1971). “Recovery of Interblock Information When Block Sizes are Unequal”. Biometrika 58, pp. 545–54.
- Rao, C. R. (1971). “Estimation of Variance and Covariance Components—MINQUE Theory”. Journal of Multivariate Analysis 1, pp. 445–56.
- Ryan, T. P. (1989). Statistical Methods for Quality Improvement. John Wiley & Sons, New York, NY.
- Satterthwaite, F. E. (1946). “An Approximate Distribution of Estimates of Variance Components”. Biometrics Bulletin 2, pp. 110–114.
- Wadsworth, H. M.; Stephens, K. S.; and Godfrey, A. B. (1986). Modern Methods for Quality Control and Improvement. John Wiley & Sons, New York, NY.