The following sources are referenced in Reliability and Survival Methods.
Abernethy, R. B. (1996). The New Weibull Handbook. 2nd ed. North Palm Beach, FL: Robert B. Abernethy.
Akaike, H. (1974). “A New Look at the Statistical Model Identification.” IEEE Transactions on Automatic Control AC-19:716–723.
Andrews, D. F., and Herzberg, A. M. (1985). A Collection of Problems from Many Fields for the Student and Research Worker. New York: Springer-Verlag.
Burnham, K. P., and Anderson, D. R. (2002). Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach. 2nd ed. New York: Springer-Verlag.
Chow, S.-C. (2007). Statistical Design and Analysis of Stability Studies. Boca Raton, FL: Chapman & Hall/CRC.
Cox, D. R. (1972). “Regression Models and Life-Tables.” Journal of the Royal Statistical Society, Series B 34:187–220.
Crow, L. H. (1975). Reliability Analysis for Complex, Repairable Systems. Technical Report No. 138, December 1975, US Army Materiel Systems Analysis Activity, Aberdeen Proving Ground, MD.
Crow, L. H. (1982). “Confidence Interval Procedures for the Weibull Process with Applications to Reliability Growth.” Technometrics 24:67–72.
Escobar, L. A., Meeker, W. Q., Kugler, D. L., and Kramer, L. L. (2003). “Accelerated Destructive Degradation Tests: Data, Models, and Analysis.” In Mathematical and Statistical Methods in Reliability, edited by B. H. Lindqvist and K. A. Doksum, 319–338. London: World Scientific Publishing Company.
Genschel, U., and Meeker, W. Q. (2010). “A Comparison of Maximum Likelihood and Median-Rank Regression for Weibull Estimation.” Quality Engineering 22:236–255.
Guo, H., Mettas, A., Sarakakis, G., and Niu, P. (2010). “Piecewise NHPP Models with Maximum Likelihood Estimation for Repairable Systems.” In 2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS). New York: IEEE Press.
Hosmer, D. W., Jr., and Lemeshow, S. (1999). Applied Survival Analysis: Regression Modeling of Time-to-Event Data. New York: John Wiley & Sons.
ICH Q1E. (2003). Evaluation for Stability Data. Tripartite International Conference on Harmonization Guideline Q1E, Geneva.
Kalbfleisch, J. D., and Prentice, R. L. (1980). The Statistical Analysis of Failure Time Data. New York: John Wiley & Sons.
Kalbfleisch, J. D., and Prentice, R. L. (2002). The Statistical Analysis of Failure Time Data. 2nd ed. Hoboken, NJ: John Wiley & Sons.
Kaminskiy, M. P., and Krivtsov, V. V. (2005). “A Simple Procedure for Bayesian Estimation of the Weibull Distribution.” IEEE Transactions on Reliability 54:612–616.
Klein, J. P., and Moeschberger, M. L. (1997). Survival Analysis: Techniques for Censored and Truncated Data. New York: Springer-Verlag.
Lawless, J. F. (1982). Statistical Models and Methods for Lifetime Data. New York: John Wiley & Sons.
Lawless, J. F. (2003). Statistical Models and Methods for Lifetime Data. 2nd ed. New York: John Wiley & Sons.
Lee, L., and Lee S. K. (1978). “Some Results on Inference for the Weibull Process.” Technometrics 20:41–45.
Liu, P., and Wang, P. (2013). “Competing Failure Modes Modeling with Limited Wearout Failures.” In 2013 Proceedings Annual Reliability and Maintainability Symposium (RAMS). New York: IEEE Press.
Meeker, W. Q., and Escobar, L. A. (1998). Statistical Methods for Reliability Data. New York: John Wiley & Sons.
Meeker, W. Q., Escobar, L. A., and Pascual, F. G. (2022). Statistical Methods for Reliability Data. 2nd ed. New York: John Wiley & Sons.
Nair, V. N. (1984). “Confidence Bands for Survival Functions with Censored Data: A Comparative Study.” Technometrics 26:265–275.
Nelson, W. B. (1982). Applied Life Data Analysis. New York: John Wiley & Sons.
Nelson, W. B. (1985). “Weibull Analysis of Reliability Data with Few or No Failures.” Journal of Quality Technology 17:140–146.
Nelson, W. B. (1990). Accelerated Testing: Statistical Models, Test Plans, and Data Analyses. New York: John Wiley & Sons.
Nelson, W. B. (2003). Recurrent Events Data Analysis for Product Repairs, Disease Recurrences, and Other Applications. Philadelphia: Society for Industrial Mathematics.
Nelson, W. B. (2004). Accelerated Testing: Statistical Models, Test Plans, and Data Analysis. New York: John Wiley & Sons.
Prentice, R. L. (1973). “Exponential Survivals with Censoring and Explanatory Variables.” Biometrika 60:279–288.
Rigdon, S. E., and Basu, A. P. (2000). Statistical Methods for the Reliability of Repairable Systems. New York: John Wiley & Sons.
Robert, C. P., and Casella, G. (2004). Monte Carlo Statistical Methods. 2nd ed. New York: Springer-Verlag.
SAS Institute Inc. (2022). “The LIFETEST Procedure.” In SAS/STAT® User’s Guide. Cary, NC: SAS Institute Inc. https://go.documentation.sas.com/api/collections/pgmsascdc/v_034/docsets/statug/content/lifetest.pdf.
Si, S., Dui, H., Zhao, X., Zhang, S., and Sun, S. (2012). “Integrated Importance Measure of Component States Based on Loss of System Performance.” IEEE Transactions on Reliability. 61:192–202.
Tobias, P. A., and Trindade, D. C. (1995). Applied Reliability. 2nd ed. New York: Van Nostrand Reinhold.
Tobias, P. A., and Trindade, D. C. (2012). Applied Reliability. 3rd ed. Boca Raton, FL: Chapman & Hall/CRC.
US Department of Defense (1981). Military Handbook: Reliability Growth Management (MIL-HDBK-00189). Washington, DC: US Department of Defense.