| 1. | A property for bivariate extreme value distribution
二元极值分布的一个性质 |
| 2. | Weak convergence for distribution functions of induced maximum
伴随极值分布函数的弱收敛 |
| 3. | 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 |
| 4. | 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 |
| 5. | 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 |
| 6. | 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 |
| 7. | 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 |
| 8. | 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。 |
| 9. | 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。 |
| 10. | 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。 |
