| 1. | Strong laws of large numbers for weighted sums of identically distributed na random variables
序列加权和的强大数律 |
| 2. | Limiting behavior of weighted sums of identically distributed - mixing random variables
混合随机变量序列加权和的极限性质 |
| 3. | Maximal inequalities for identically distributed - mixing random variables and applications
混合序列的最大值不等式及其应用 |
| 4. | In this thesis we discuss the limit theory of negatively associated sequences of non - identically distributed random variables
本文主要讨论了有关不同分布的na列的极限理论。 |
| 5. | The paper discuss the upper bound of the distribution of the partial sums of identically distributed mixing random variables
摘要本文讨论了同分布混合序列部分和分布函数的上界及其应用。 |
| 6. | These classical work mainly dealt with the claim size which are a sequence of independent and identically distributed random variables
这些经典的工作基本上都是针对索赔额序列是非负独立同分布的情形来展开研究的。 |
| 7. | Let be a sequence of independent and identically distributed random variables ， with mean and variance . while the distribution function is unknown ， and is large ， then is a normal approximation distribution
3设相互独立的随机变量服从同一分布，已知均值为，方差为.单分布函数未知，当充分大时,近似服从正态分布 |
| 8. | In recent years various methods of estimation about probability density function of random variable sequence that is independent and identically distributed ( abbreviated as iid . ) and large sample quality have been more discussed in research documentation
)序列的概率密度函数的各种估计方法及其大样本性质的研究文献中已有很多讨论，研究得最多的还是密度函数的核估计，如rosenblent , parzen ， prakasarao和silverman等。 |
| 9. | Based on the obtained lower bounds on mean squared channel estimation errors , the limits on bit error rate ( ber ) for maximal ratio combining ( mrc ) with gaussian distributed weighting errors on independent and identically distributed ( i . i . d ) fading channels are presented
通过对不同衰落信道多普勒谱的积分，求出了相应的信道估计均方误差下界的闭合表达式，并在此基础上得到了分集系统在独立同分布的衰落信道中采用最大比合并时的误码率下界。 |
| 10. | In ( ( actuarial mathematics ) ) n . l . bower etc . specially have discussed the discrete time risk model in which the premium income of per unit time is regarded as a constant , the claim amount of each period time is regarded as independent and identically distributed random variable
N . l . bower等人在《 actuarialmathematics 》一书中专门讨论了离散时间的风险模型，该模型将单位时间内收取的保费视为常数，每一时期的理赔量视为独立同分布的随机变量 |
