论概率统计中普遍存在的均值概念

A. Maitournam
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引用次数: 0

摘要

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the ubiquitous notion of mean in probability and statistics
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.
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