1. Everitt, B. S. (2005): An R and S-PLUS Companion to Multivariate Analysis, Springer.
2. Hong, Y. and W. Q. Meeker (2013): “Field-Failure Predictions Based on Failure-Time Data With Dynamic Covariate Information”, Technometrics, 55 (2), pp.135-149.
3. JSME S 002 (1994): Standard Method of Statistical Fatigue Testing (Revised Edition), The Japan Society of Mechanical Engineers (Japanese).
4. Kumazaki, C., M. Yokoyama, W. Yamamoto, and K. Suzuki (2012): “Optimal sampling plan and lifetime prediction based on online information,” Shinraisei To Shisutemu Anzengaku (Proceeding of 16th Study of System Safety and Reliability), Graduate School of Information Systems, University of Electro-Communications, pp. 46–51 (Japanese).
5. Kumazaki, C., W. Yamamoto, and K. Suzuki (2014): “Lifetime prediction of vehicle components in considering variance of usage conditions based on online monitoring”, Proceeding of 44th Symposium on Reliability and Maintainability, Japan, pp.489-494 (Japanese).