References
- Butler, R.W. (2000). Reliabilities for feedback systems and their saddlepoint approximation, Statistical Science, 15, 279–298 https://doi.org/10.1214/ss/1009212818
- Butler, R. W. and Huzurbazar, A. V. (1997). Stochastic network models for survival analysis, Journal of the American Statistical Association, 92, 246–257
- Butler, R. W. and Huzurbazar, A. V. (2000). Bayesian prediction of waiting times in stochastic models, The Canadian Journal of Statistics, 28, 311–325 https://doi.org/10.2307/3315981
- Daniels, H. E. (1954). Saddlepoint approximations in statistics, The Annals of Mathematical Statistics, 25, 631–650 https://doi.org/10.1214/aoms/1177728652
- Daniels, H. E. (1982). The saddlepoint approximation for a general birth process, Journal of Applied Probability, 19, 20–28
- Farewell, V. T. (1977). A model for a binary variable with time-censored observations, Biometrika, 64, 43–46 https://doi.org/10.1093/biomet/64.1.43
- Ha, H. T. and Provost, S. B. (2007). A viable alternative to resorting to statistical tables, Communication in Statistics: Simulation and Computation, 36, 1135–1151 https://doi.org/10.1080/03610910701569671
- Huzurbazar, S. and Huzurbazar, A. V. (1999). Survival and hazard functions for progressive diseases using saddlepoint approximations, Biometrics, 55, 198–203 https://doi.org/10.1111/j.0006-341X.1999.00198
- Keilson, J. (1978). Exponential spectra as a tool for the study of server-systems with several classes of customers, Journal of Applied Probability, 15, 162–170
- Langlands, A. O., Pocock, S. J., Kerr, G. R. and Gore, S. M. (1979). Long-term survival of patients with breast cancer: a study of the curability of the disease, British Medical Journal, 2, 1247–1251
- Pierce, D. A., Stewart, W. H. and Kopecky, K. J. (1979). Distribution-free regression analysis of grouped survival data, Biometrics, 35, 785–793
- Reid, N. (1996). Likelihood and higher order approximations to tail areas, The Canadian Journal of Statistics, 24, 141–165