References
- Hamada, M. S., S. Lohr, C. A. Hamada, and T. Burr. 2013. Estimating a proportion from repeated sampling of a growing population: an application of survey sampling methodology. Quality Engineering 25:108–117.
- Hamada, M. S., A. G. Wilson, C. S. Reese, and H. F. Martz. 2008. Bayesian Reliability. New York: Springer.
- Kelly, E. J., M. S. Hamada, S. A. Vander Wiel, and R. D. Ryne. 2017. Optimal inspection of a finite population. Quality Engineering 29:254–261.
- Lin, C. D., C. M. Anderson-Cook, M. S. Hamada, and L. M. Moore. 2015. Using genetic algorithms to design experiments: a review. Quality and Reliability Engineering International 31:155–167.
- R Core Team. 2016. R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing. Available at http://www.R-project.org (accessed October 12, 2016).
- Ryan, K. R., M. S. Hamada, and S. B. Vardeman. 2017. Estimating a service life distribution based on production counts and a failure database. Journal of Quality Technology 49:172–185.
- Spiegelhalter, D., A. Thomas, N. Best, and D. Lunn. 2014. OpenBUGS User Manual, Version 3.2.3. Cambridge: MRC Biostatistics Unit.