| 1. | The central limit theorem under random truncation
随机截断模型下的中心极限定理 |
| 2. | Functional central limit theorem for quasi - symmetric markov chains
链泛函型中心极限定理 |
| 3. | The central limit theorem for markov chains in markovian environments
马氏环境中马氏链的中心极限定理 |
| 4. | The central limit theorem for markov chains in double infinite environments
双无限环境中马氏链的中心极限定理 |
| 5. | Central limit theorem
中心极限定理 |
| 6. | Almost sure central limit theorem for the product of the partial sums under strongly mixing
强混合序列部分和乘积的几乎处处中心极限定理 |
| 7. | A problem in teaching of central limit theorem is discussed in this paper
摘要指出并分析了目前国内概率论教材中中心极限定理部分存在的一个问题。 |
| 8. | A function central limit theorem was established for markov chains in random environments under the assumption that markov bichains was stationary and ergodic
在双链平稳遍历的条件下，建立了随机环境中马氏链的函数的中心极限定理。 |
| 9. | By employing de finetti theorem , in chapter two we discuss the limit behaviour of interchangeable random variables squences , mainly including the convergence rates in the central limit theorem and the law of the iterated logarithm
第二章主要讨论了可交换随机变量序列的极限性质，具体包括中心极限定理的收敛速度和重对数律，所得的结论补充了可交换随机变量极限理论方面的结果。 |
| 10. | Our results show that the rate of correlation among the random variables of those output sequences are low although they are not independent ; in addition , the output sequences of those combined generators are homogeneous markov chains which are strictly stationary processes with ergodicity ; the output sequences of those combined generators are also proved to summit to the strong law of large numbers and the central limit theorem ; finally the computation formula of the rate of the accordance between the output sequences and input sequences of those combined generators is given
我们的研究结论表明：虽然这些序列中随机变量之间不具有相互独立性，但它们的相关程度却比较低；证明了“停走”生成器， km _ 1m _ 2型组合生成器和加法型组合生成器的概率模型输出序列都是强平稳的和遍历的齐次马氏链；讨论了这些序列的概率极限性质，证明了它们均服从强大数定律和中心极限定理；还分别给出了各类生成器的输出序列与输入序列之间的符合率的计算公式。 |
