环境因子在不同环境下试验数据的折算与综合问题中有着重要应用。在失效机理保持不变的条件下,讨论Birnbaum-Saunders疲劳寿命分布环境因子的估计问题。设产品在环境1、环境2下的某指标分别为X、Y,定义环境因子K EX EY,给出了X、Y的分...环境因子在不同环境下试验数据的折算与综合问题中有着重要应用。在失效机理保持不变的条件下,讨论Birnbaum-Saunders疲劳寿命分布环境因子的估计问题。设产品在环境1、环境2下的某指标分别为X、Y,定义环境因子K EX EY,给出了X、Y的分布均服从Birnbaum-Saunders疲劳寿命分布时K的置信限。展开更多
In present paper, we derive the quasi-least squares estimation(QLSE) and approximate maximum likelihood estimation(AMLE) for the Birnbaum-Saunders fatigue life distribution under multiply Type-Ⅱcensoring. Furthermore...In present paper, we derive the quasi-least squares estimation(QLSE) and approximate maximum likelihood estimation(AMLE) for the Birnbaum-Saunders fatigue life distribution under multiply Type-Ⅱcensoring. Furthermore, we get the variance and covariance of the approximate maximum likelihood estimation.展开更多
文摘环境因子在不同环境下试验数据的折算与综合问题中有着重要应用。在失效机理保持不变的条件下,讨论Birnbaum-Saunders疲劳寿命分布环境因子的估计问题。设产品在环境1、环境2下的某指标分别为X、Y,定义环境因子K EX EY,给出了X、Y的分布均服从Birnbaum-Saunders疲劳寿命分布时K的置信限。
基金Supported by the NSF of China(69971016)Supported by the Shanghai Higher Learning Science and Technology Development Foundation(04DB24)
文摘In present paper, we derive the quasi-least squares estimation(QLSE) and approximate maximum likelihood estimation(AMLE) for the Birnbaum-Saunders fatigue life distribution under multiply Type-Ⅱcensoring. Furthermore, we get the variance and covariance of the approximate maximum likelihood estimation.
