测度论 meaning in Chinese
measure theory
Examples
- In our paper , we firstly prove , in a similar way to the proof of hahn decomposition theorem for signed measures , that too - measures have hahn decompositions , too
在本文中，我们首先通过采用与经典测度论中证明符号测度的hahn分解定理类似的方法证明了t _ ?测度的hahn分解定理。 - As we all know , measures have three decomposition theorems in classical measure theory , that is , hahn decomposition theorem , jordan decomposition theorem and lebesgue decomposition theorem
众所周知，在经典测度论中，测度有三个分解定理，即， hahn分解定理、 jordan分解定理和lebesgue分解定理。 - By using the probability theory , measurable theory and random process comprehensively , the properties of the output sequences of the combined generators mentioned above are studied , and the finite dimension union distributions of those output sequences are also presented , followed by the mathematical characteristics of those output sequences
综合运用概率论、测度论和随机过程等学科的理论分别对这些钟控组合生成器的概率模型输出序列的性质进行了研究，求出或讨论了“停走”生成器、 km ( - Based on the theory of measurement and statistical estimate , this paper furnish three kinds of estimate algorithms : median estimate ( me ) , 3 a confidence distance estimate ( 3 a cde ) and confidence distance estimate based on bayes ( cdebb ) . the monte carlo digital simulations are applied on the me , 3 a cde and cdebb with the random normal samples & outlier samples
论文运用测度论和估计理论，探索了可应用于引信决策的中位数估计、 “ 3 ”置信距离估计和基于bayes的置信距离估计三种稳健估计算法，并结合构造的随机正常值样本、随机异常值样本，用蒙特卡罗法分别对该三种算法进行了数字仿真验证。 - The discipline has its own problems in its domain of investigation , as well as unimaginable applications in the real world . from the view of mathematical tools used in the investigation of probability , this paper divides the history of the theory into stages and attempts to analysis the characteristic of each stage . historically , it went through three main periods : classical probability theory , analytical probability theory and measurable probability theory
从17世纪中叶诞生至1812年，概率计算主要以代数方法为主，这一时期称为“古典概率论” ；从1812年到20世纪初，主要以分析方法为主，如：特征函数，微分方程，差分方程等，这一时期可以称为“分析概率论” ； 1933年以后，主要以测度论来研究概率论，可以称为“测度概率论” ，这时概率论已经实现了公理化。