Andersen, P. K., Borgan, Ø., Gill, R. D. and Keiding, N. (1993). Statistical Models Based on Counting Processes. Springer, New York.
Brown, M. and Proschan, F. (1983). Imperfect repair. J. Appl. Prob.
Cha, J. H. (2009). Burn-in models: recent issues, development and future topics. Commun. Korean Statist. Soc.
Cha, J. H. and Finkelstein, M. (2010). Burn-in by environmental shocks for two ordered subpopulations. Europ. J. Operat. Res.
Cha, J. H. and Finkelstein, M. (2011). On new classes of extreme shock models and some generalizations. J. Appl. Prob.
Cha, J. H. and Finkelstein, M. (2012). Information-based thinning of point processes and its application to shock models. J. Statist. Planning Infer. 142, 2345–2350.
Cha, J. H. and Finkelstein, M. (2013). On history-dependent shock models. Operat. Res. Lett.
Cox, D. R. and Isham, V. (1980). Point Processes. Chapman & Hall, London.
Finkelstein, M. (2008). Failure Rate Modelling for Reliability and Risk. Springer, London.
Fiorentino, E. and Saari, A. E. (1983). Planning of production reliability stress-screening programs. IEEE Trans. Reliab.
Fleming, T. R. and Harrington, D. P. (1991). Counting Processes and Survival Analysis. John Wiley, New York.
Landers, T. L., Malstrom, R. M., Schmitt, N. and Fant, E. (1994). Electronics Manufacturing Processes. Prentice Hall, Englewood Cliffs, NJ.
Mi, J. (1991). Optimal Burn-in. , University of Pittsburgh.
Mi, J. (1994a). Burn-in and maintenance policies. Adv. Appl. Prob.
Mi, J. (1994b). Maximization of a survival probability and its application. J. Appl. Prob.
Mi, J. (1996). Minimizing some cost functions related to both burn-in and field use. Operat. Res.
Shaked, M. and Shanthikumar, J. G. (2007). Stochastic Orders. Springer, New York.
Yan, L and English, J. R. (1997). Economic cost modeling of environmental-stress-screening and burn-in. IEEE Trans. Reliab.