[1] Nagode M.,Fajdiga M..An improved algorithm for parameter estimation suitable for mixed Weibull distribution[J].International Journal of Fatigue,2000,22:75-80.
[2] 毛昭勇,宋保维,李正,胡海豹.基于遗传算法的最大似然参数优化估计[J].机械强度,2006,28(1):79-82.
[3] 金菊良,魏一鸣.加速遗传算法在变异函数参数优化中的应用[J].中国管理科学,2000,8(专辑):6-10.
[4] 李进,黄敏,赵宇.威布尔分布的极大似然估计的精度分析[J].北京航空航天大学学报,2006,32(8):930-933.
[5] 郑荣跃,严剑松.威布尔分布参数估计新方法研究[J].机械强度,2002,24(4):599-601.
[6] Vrugt J.A.,Grupta W.,Bouten W.and Sorooshian S.A..Shuffled Complex Evolution Metropolis algorithm for optimization and uncertainty assessment of hydrological model parameters[J].Water Resource Research,2003,39 (8).
[7] Duan Q.,Grupta V.K.,Sorooshian S..A shuffled complex evolution approach for effective and efficient global minimization[J].Journal of Optimization theory and Application,1993,76 (3).:501-521.
[8] Duan Q.,Sorooshian S.,Gupta V.K..Optimal use of SCE-UA global optimization method for calibrating watershed models[J].Journal of Hydrology,1994.158:265-286.
[9] Holland J..Adaption in Natural and Artificial Systems[M].Ann Arbor:University of Michigan Press,1975.
[10] Gilks W.,Roberts G..and Sahu S..Adaptive Markov Chain Monte Carlo through regeneration[J].Journal of the American Statistical Association,1998,443 (93):1045 -1054.
[11] Metropolis N.,Rosenbluth A.W.,Rosenbluth M.N.,Teller A.H.and Teller E..Equations of state calculations by fast computing machines[J].Journal of Chemical Physics,1953,21:1087-1091.
[12] Hastings W.K..Monte-Carlo sampling methods using Markov Chains and their applications[J].Biometrika,1970,57:97-109.
[13] Nelder J.A.and Mead R..A simplex method for function minimization[J].the Computer Journal,1965,7:308 -313.
[14] Attardi L.,Guida M.,Pulcini G..A mixed-Weibull regression model for the analysis of automotive warranty data[J].Reliability Engineering & System Safety,2005,87(2):265-273.
[15] Box G.E.P.,Tiao G.C..Bayesian Inference in Statistical Analyses[M].New York:Addison-Wesley-Longman,1973.
[16] Nelson W..Applied life data analysis[M].New York:Wiley,1982. |
