| 1. | Limit distribution theorem for a sum of independent m - valued random variables
值随机变量和的极限分布定理 |
| 2. | The limiting distribution of the restricted likelihood ratio statistic for finite mixture models
极大似然比统计量的极限分布 |
| 3. | To study special markov processes with infinitely divisible limit distributions , the characteristic function was used
研究极限分布具有无穷可分性的马氏过程。 |
| 4. | On the joint limiting distribution of the partial sum and maximum of strongly dependent stationary normal sequence
强相依平稳正态序列的部分和与最大值的联合极限分布 |
| 5. | The limiting distribution of test statistic under null hypothesis is proved to be the function of a standard brownian
在原假设下证明了统计量的极限分布是标准brown运动的泛函。 |
| 6. | On the joint limiting distribution of the partial sum and maximum of strongly dependent stationary normal sequence with random index
具有随机足标的强相依正态序列部分和与最大值的联合极限分布 |
| 7. | An easily verified sufficient and essential condition which can assure markov processes have limit distributions was given
某类马氏过程具有无穷可分的极限分布，但不是所有的马氏过程均具有无穷可分性。 |
| 8. | The limit distributions of estimators and likelihood ratio test are given , the strong consistency of estimators is also proved
证明估计的强相合性和渐近正态性，给出似然比检验统计量的极限分布，并讨论基于精确分布的检验问题。 |
| 9. | The author uses comparison theorem for stochastic differential equations to explore the limit behavior of one - dimentional discontinuous dynamical system with small random perturbations
作者利用随机微分方程的比较定理，确定间断动力系统在小随机扰动下的极限分布。 |
| 10. | Moreover a sufficient and essential condition ensuring that some special kind of markov process has infinitely divisible limit distributions was given
由此，给出了一个较易验证的保证极限分布存在的充要条件，并对某类特殊形式的马氏过程给出了具有无穷可分的极限分布的充要条件。 |
