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1·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。

2·This paper first prove an inverse limit theorem of strongly submetacompact spaces;

首先证明了强次亚紧空间的一个逆极限定理；

3·We establish the strong limit theorem for countable Markov chains indexed by a homogeneous tree.

研究了齐次树指标可列马氏链的一类强极限定理。

4·Some applications of the central limit theorem in sampling deduction were discussed in this paper.

本文讨论中心极限定理在抽样推断中的若干应用。

5·In GPD model, a too low threshold will get biased estimates because the limit theorem does not apply.

在广义帕累托分布模型中，门限值过小，极限定理不成立，得到的估计是有偏的；

6·Under some conditions, if obeys central limit theorem, so does, and the inverse theorems are studied.

在某些限制条件下，其逆命题也成立。

7·A sufficient condition of the central limit theorem is given for strongly stationary NA random variables.

讨论了强平稳NA序列的随机指标中心极限定理，给出其成立的一个充分条件。

8·The derivative limit theorem may draw out the left (right) derivative limit theorem and about the region end point.

导数极限定理可以引出左(右)导数极限定理、区间端点导数极限定理。

9·At last, by martingale large number theorem and central limit theorem, we study the hypothesis testing of parameters.

最后，利用鞅大数定律和中心极限定理对参数作了假设检验。

10·The slope stability analysis is studied with the nonlinear failure criterion based on the plastic upper limit theorem.

利用塑性分析上限定理，考虑岩土介质本身的非线性破坏准则，对各种不同破裂面边坡稳定性分析进行研究。