REFERENCES
- Agresti, A., and B. A. Coull. 1998. Approximate is better than “exact” for interval estimation of binomial proportions. The American Statistician 52: 119–126.
- Blyth, C. R., and H. A. Still. 1983. Binomial confidence intervals. Journal of the American Statistical Association 78: 108–116.
- Brown, L. D., T. T. Cai, and A. DasGupta. 2001. Interval estimation for a binomial proportion (with discussion). Statistical Science 16: 101–133.
- Casella, G. 1986. Refining binomial confidence intervals. The Canadian Journal of Statistics 14: 113–129.
- Clopper, C. J., and E. S. Pearson. 1934. The use of confidence or fiducial limits illustrated in the case of the binomial. Biometrika 26: 404–413.
- Devore, J. L. 1976. A note on the estimation of parameters in a Bernoulli model with dependence. The Annals of Statistics 4: 990–992.
- Fitzgerald, M., H. F. Martz, and R. L. Parker. 1999. Bayesian single-level binomial and exponential reliability demonstration test plans. International Journal of Reliability, Quality and Safety Engineering 6(2): 123–137.
- Hahn, G. J., and J. B. Gage. 1983. Evaluation of a start-up demonstration test. Journal of Quality Technology 15(3): 103–106.
- Hahn, G. J., and W. Q. Meeker. 1991. Statistical intervals: A guide for practitioners. New York: Wiley.
- Hamada, M. S., A. Wilson, C. S. Reese, and H. Martz. 2008. Bayesian reliability. New York: Springer.
- Jaech, J. L. 1972. On the use of tolerance intervals in acceptance sampling by attributes. Journal of Quality Technology 4: 69–73.
- Kim, S., and D. S. Bai. 1980. On parameter estimation in Bernoulli trials with dependence. Communications in Statistics: Theory and Methods 9: 1401–1410.
- Kleyner, A., S. Bhagath, M. Gasparini, J. Robinson, and M. Bender. 1997. Bayesian techniques to reduce the sample size in automotive electronics attribute testing. Microelectronics and Reliability 37: 879–883.
- Klotz, J. 1973. Statistical inference in Bernoulli trials with dependence. The Annals of Statistics 1: 373–379.
- Lindqvist, B. 1978. A note on Bernoulli trials with dependence. Scandanavian Journal of Statistics 5: 205–208.
- Lu, M., and R. J. Rudy. 2001. Reliability demonstration test for a finite population. Quality and Reliability Engineering International 17: 33–38.
- Mease, D., and V. N. Nair. 2006. Extreme (X-)testing with binary data and applications to reliability demonstration. Technometrics 48: 399–410.
- Meeker, W. Q., and L. A. Escobar. 1998. Statistical methods for reliability data. New York: Wiley.
- Miao, W., and J. L. Gastwirth. 2004. The effect of dependence on confidence intervals for a population proportion. The American Statistician 58(2): 124–130.
- Price, B. 1976. A note on estimation in Bernoulli trials with dependence. Communications in Statistics: Theory and Methods 5: 661–671.
- Schilling, E. G., and D. V. Neubauer. 2009. Acceptance sampling in quality control. 2nd ed. Boca Raton, FL: CRC Press.
- Smith, M. D., and W. S. Griffith. 2005. Start-up demonstration tests based on consecutive successes and total failures. Journal of Quality Technology 37(3): 186–198.
- Wang, C. J. 1991. Sample size determination of bogey tests without failures. Quality and Reliability Engineering International 7: 35–38.