3X Du, W Chen, Y Wang. Most Probable Point-Based Methods [ J]. Extreme Statistics in Nanoscale Memory Design, 2010 : 179- 202.
4Y T Wu, H R Millwater, T A Cruse. Advanced probabilistic structural analysis method for implicit performance functions[J]. AIAA journal, 1990,28 (9) : 1663-1669.
5B DYoun, K K Choi, Y H Park. Hybrid analysis method for relia-bility-based design optimization. Journal of Mechanical Design [ J ]. AIAA journal, 2003,125 (2) :221-232.
6B DYoun, K K Choi. Selecting pmbabilistic approaches for relia- bility- based design optimization [ J ]. AIAA journal, 2004,42 (i): 124-131.
7K Binder, D W Heermann. Monte Carlo simulation in statistical physics[ M]. an introduction Springer, 2010.
8J MHanson, B B Beard. Applying Monte Carlo Simulation to Launch Vehicle Design and Requirements Analysis [ J ] : NASA, Marshall Space Flight Center II'IMSFC, Alabama, 2010.
9K Bozkaya, et al. Reliability analysis of a solid rocket motor based on response surface method and Monte Carlo simulation[ J]. Jour- nal of Spacecraft and Rockets, 2009.
10K Bozkaya, M Akkok, A Esin. Reliability Improvement of a Solid Rocket Motor in Early Design Phases [ J ]. Journal of Spacecraft and Rockets, 2009.
