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A flexible application of the Stone-Weierstrass Theorem in General and Application in Probability Theory Stone-Weierstrass定理在概率论中的灵活应用
Pub Date : 2019-01-01 DOI: 10.16929/jmfsp/2019.43.006
G. Lo, Lois Chinwendu Okoreke
When applying the classical Stone-Weierstrass common version in Probability Theory for example but in other fields also, some problems may arise if all points of the compact set are not separated. A solution may consist in going back to the proof and finding alternative versions. In this note, we did it and come back with two flexible versions which are easily used for the needs of Probability Theory.
在应用经典的Stone-Weierstrass通用版本时,例如在概率论和其他领域,如果紧集的所有点不分离,可能会出现一些问题。解决方案可能包括回到证明并找到替代版本。在这篇文章中,我们使用了两个灵活的版本,它们很容易用于概率论的需要。
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引用次数: 1
On the ubiquitous notion of mean in probability and statistics 论概率统计中普遍存在的均值概念
Pub Date : 2019-01-01 DOI: 10.16929/jmfsp/2019.35.005
A. Maitournam
In probability and statistics, the basic notion of probability of an event can be expressed as a mathematical expectation. The latter is a theoretical mean and is an essential parameter of most probability distributions, in particular of the Gaussian distribution. Last but not least, the notion of mean is at the core of two main theorems of probabilities and statistics, that is : the law of large numbers and the central limit theorem. Whether it is a theoretical or empirical version, the concept of mean is omnipresent in probability and statistics, is consubstantial to these two disciplines and is a bridge between randomness and determinism.
在概率论和统计学中,事件概率的基本概念可以用数学期望来表示。后者是理论均值,是大多数概率分布,特别是高斯分布的基本参数。最后但并非最不重要的是,均值的概念是概率和统计的两个主要定理的核心,即大数定律和中心极限定理。无论是理论版本还是经验版本,均值的概念在概率论和统计学中无处不在,是这两个学科的同质性,是随机性和决定论之间的桥梁。
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引用次数: 0
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Journal of Mathematical Facts and short papers
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