References
- Aitchison, J. (1964). “Bayesian Tolerance Regions”. Journal of the Royal Statistical Society B 26, pp. 161–175.
- Aitchison, J. (1966). “Expected-Cover and Linear-Utility Tolerance Intervals”. Journal of the Royal Statistical Society B 28, pp. 57–62.
- Box, G. E. P. and Tiao, G. C. (1973). Bayesian Inference in Statistical Analysis. Addison-Wesley, Reading, MA.
- Chaloner, K. (1987). “A Bayesian Approach to the Estimation of Variance Components for the Unbalanced One-way Random Model”. Technometrics 29, pp. 323–337.
- Gelfand, A. E.; Hills, S. E.; Racine-Poon, A.; and Smith, A. F. M. (1990). “Illustration of Bayesian Inference in Normal Data Models Using Gibbs Sampling”. Journal of the American Statistical Association 85, pp. 972–985.
- Green, J. R. (1969). “Inferences Concerning Probabilities and Quantiles”. Journal of the Royal Statistical Society B 31, pp. 310–316.
- Guttman, I. (1970). Statistical Tolerance Regions: Classical and Bayesian. Charles Griffin & Co., London.
- Hahn, G. J. and Meeker, W. Q. (1991). Statistical Intervals. John Wiley & Sons, New York, NY.
- Kotz, S. and Johnson, N. L. (1993). Process Capability Indices. Chapman and Hall, London.
- Lee, P. M. (1992). Bayesian Statistics: An Introduction. John Wiley & Sons, New York, NY.
- Lindley, D. (1970). Bayesian Statistics: A Review. Society for Industrial and Applied Mathematics, Philadelphia, PA.
- Mil Handbook 5E (1987). Metallic Components for Aircraft Structure. Naval Publications and Forms Center, Philadelphia, PA.
- Miller, R. W. (1989). “Parametric Empirical Bayes Tolerance Intervals”. Technometrics 31, pp. 449–459.
- Odeh, R. E.; Chou, Y. M.; and Owen, D. B. (1989). “Sample-Size Determination for Two-Sided β-expectation Tolerance Intervals for a Normal Distribution”. Technometrics 31, pp. 461–468.
- Robinson, G. K. (1991). “That BLUP is a Good Thing: The Estimation of Random Effects” (with discussion). Statistical Science 6, pp. 15–51.
- SAS Institute (1995). SAS/QC Software: Usage and Reference, Ver. 6, Vol. 1, 1st ed. SAS Institute Inc., Cary, NC.
- SAS Institute (1996). SAS/STAT Software: Changes and Enhancements through Release 6.11. SAS Institute Inc., Cary, NC.
- Searle, S. R.; Casella, G.; and McCulloch, C. E. (1992). Variance Components. John Wiley & Sons, New York, NY.
- Serfling, R. J. (1980). Approximation Theorems of Mathematical Statistics. John Wiley & Sons, New York, NY.
- Silverman, B. W. (1986). Density Estimation. Chapman & Hall, London.
- Smith, A. F. M. and Gelfand, A. E. (1992). “Bayesian Statistics Without Tears: A Sampling-Resampling Perspective”. American Statistician 46, pp. 84–88.
- Tedford, J. (1973). “An Appreciation of Bayesian Tolerance Limits for Chemical Impurities”. American Society of Quality Control 27th Annual Technical Conference Proceedings. pp. 102–106.
- Vangel, M. G. (1992). “New Methods for One-Sided Tolerance Limits for a One-Way Balanced Random-Effects ANOVA Model”. Technometrics 34, pp. 176–185.
- Vangel, M. G. (1994). “One-Sided β-Content Tolerance Intervals for Mixed Models”. Presented at the Spring Research Conference on Statistics in Industry and Technology, Chapel Hill, NC.
- Wald, A. (1942). “Setting Tolerance Limits When the Sample is Large”. The Annals of Mathematical Statistics 13, pp. 389–399.
- Wang, C. M. and Iyer, H. K. (1994). “Tolerance Intervals for the Distribution of True Values in the Presence of Measurement Error”. Technometrics 36, pp. 162–170.
- Wilks, S. S. (1941). “Determination of Sample Sizes for Setting Tolerance Limits”. The Annals of Mathematical Statistics 12, pp. 91–96.
- Wolfinger, R. D. and Kass, R. E. (1996). “Bayesian Analysis of Variance Component Models Via Rejection Sampling”. (in review).
- Zacks, S. (1971). The Theory of Statistical Inference. John Wiley & Sons, New York, NY.