A property for bivariate extreme value distribution 二元极值分布的一个性质
Weak convergence for distribution functions of induced maximum 伴随极值分布函数的弱收敛
Function ; domain of the extreme value distribution ; von . mises condition 变化函数极值分布吸引场von . mises条件
Induced maximum ; weak convergence for distribution functions ; bivariate extremes 伴随极值分布函数的弱收敛二元极值
Detection and handling of outlying observations in the sample of type i extreme v distribution 型极值分布样本异常值的判断和处理
Concomitant of order statistics ; extreme - value distribution laws ; weak convergence of distribution 伴随次序统计量极值分布律型分布函数弱收敛
Statistical interpretation of data - detection and handling of outlying observations in the sample of type i extreme value distribution 数据的统计处理和解释i型极值分布样本异常值的判断和处理
Applied the maximum entropy calculation method to fit the distribution of extremes for dynamic response processes , a quasi - static analysis method on dynamic reliability of cwr stability is established 基于反应过程极值分布最大熵拟合法，提出了无缝线路概率稳定性动力可靠度的拟静力分析方法。
Functions basic properties , expression theorem and equivalent conditions are proved . the domains of the extreme value distributions and rates of the convergence of the von . mises condition are discussed 的基本性质及表示定理和等价条件，利用所得结果讨论了极值分布的吸引场及von mises条件的收敛速度问题。
Furthermore , the equivalent judge condition between almost sure convergence and convergence in distribution of the extreme value distribution of 1 - max style is , in this thesis , given in the case of independedt nonidentical distribution 此外，本文还给出了独立不同分布情况下l - max型极值分布几乎处处收敛和依分布收敛等价的判断条件。
