REFERENCES
- Freeman, L. J. (2011). A cautionary tale: small sample size concerns for grouped lifetime data. Quality Engineering 23(2): 134–41. http://dx.doi.org/10.1080/08982112.2010.529485
- Freeman, L. J., and G. G. Vining. (2010). Reliability data analysis for life test experiments with subsampling. Journal of Quality Technology 42(3): 233–41.
- Freeman, L. J., and G. G. Vining. (2013). Reliability data analysis for life test designed experiments with sub-sampling. Quality and Reliability Engineering International 29(4): 509–19. http://dx.doi.org/10.1002/qre.1398
- Genschel, U., and W. M. Meeker. (2010). A comparison of maximum likelihood and median-rank regression for Weibull estimation. Quality Engineering 22(4): 236–55. http://dx.doi.org/10.1080/08982112.2010.503447
- Kensler, J. L. K., L. J. Freeman, and G. G. Vining. (2014). A practitioner's guide to analyzing reliability experiments with random blocks and subsampling. Quality Engineering 26(3): 359–69. http://dx.doi.org/10.1080/08982112.2014.887101
- Lawless, J. F. (1982). Statistical models and methods for lifetime data. New York: John Wiley & Sons.
- McCool, J. I. (1979). Analysis of single classification experiments based on censored samples from the two-parameter Weibull distribution. Journal of Statistical Planning and Inference 3(1): 39–68. http://dx.doi.org/ 10.1016/0378-3758(79)90041-7
- Meeker, W. Q., and L. A. Escobar. (1998). Statistical methods for reliability data. New York: John Wiley & Sons.
- Nair, V., and A. Somboonsavatdee. (2010). Comments. Quality Engineering 22(4): 273–77. http://dx.doi.org/10.1080/08982112.2010.503454
- Nelson, W. B. (1990). Accelerated testing: statistical models, test plans and data analysis. Hoboken, NJ: John Wiley & Sons.
- Olteanu, D., and L. J. Freeman. (2010). The evaluation of median rank regression and maximum likelihood estimation techniques for two-parameter Weibull distribution. Quality Engineering 22(4): 256–72. http://dx.doi.org/10.1080/08982112.2010.505219
- Rigdon, S. E., B. R. Englert, I. A. Lawson, C. M. Borror, D. C. Montgomery, and R. Pan. (2012). Experiments for reliability achievement. Quality Engineering 25(1): 54–72. http://dx.doi.org/10.1080/08982112.2013.733611
- Ross, R. (1994). Formulas to describe the bias and standard deviation of the ML-estimated Weibull shape parameter. IEEE Transactions on Dielectrics and Electrical Insulation 1(2): 247–53. http://dx.doi.org/10.1109/94.300257
- Ross, R. (1996). Bias and standard deviation due to Weibull parameter estimation for small data sets. IEEE Transactions on Dielectrics and Electrical Insulation 3(1): 28–42. http://dx.doi.org/10.1109/94.485512
- Thoman, D. R., L. J. Bain, and C. E. Antle. (1969). Inferences on the parameters of the Weibull distribution. Technometrics 11(3): 445–60. http://dx.doi.org/10.1080/00401706.1969.10490706
- Yang, Z., and D. K. Lin. (2007). Improved maximum-likelihood estimation for the common shape parameter of several Weibull populations. Applied Stochastic Models in Business and Industry 23(5): 373–83. http://dx.doi.org/10.1002/asmb.678
- Yang, Z., and M. Xie. (2003). Efficient estimation of the Weibull shape parameter based on a modified profile likelihood. Journal of Statistical Computation and Simulation 73(2): 115–23. http://dx.doi.org/10.1080/00949650215729
- Zelen, M. (1959). Factorial experiments in life testing. Technometrics 1(3): 269–88. http://dx.doi.org/10.1080/00401706.1959.10489862
- Zhang, C. W., T. L. Zhang, D. S. Xu, and M. Xie. (2013). Analyzing highly censored reliability data without exact failure times: an efficient tool for practitioners. Quality Engineering 25(4): 392–400. http://dx.doi.org/10.1080/08982112.2013.783598