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Essentials of Probability Theory for Statisticians最新文献

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Conditional Probability and Expectation 条件概率与期望
Pub Date : 2018-09-03 DOI: 10.1201/9781315370576-10
M. Proschan, P. Shaw
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引用次数: 0
Applications 应用程序
Pub Date : 2018-09-03 DOI: 10.1201/9781315370576-11
M. Proschan, P. Shaw
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引用次数: 0
Laws of Large Numbers 大数定律
Pub Date : 2018-09-03 DOI: 10.1201/9781315370576-7
M. Proschan, P. Shaw
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引用次数: 0
Size Matters 规模很重要
Pub Date : 2018-09-03 DOI: 10.1201/9781315370576-2
M. Proschan, P. Shaw
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引用次数: 0
The Elements of Probability Theory 概率论的基本原理
Pub Date : 2018-09-03 DOI: 10.1201/9781315370576-3
M. Proschan, P. Shaw
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引用次数: 2
More on Convergence in Distribution 更多关于分布中的收敛
Pub Date : 2018-09-03 DOI: 10.1201/9781315370576-9
M. Proschan, P. Shaw
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引用次数: 0
Integration and Expectation 整合与期望
Pub Date : 2018-09-03 DOI: 10.1201/9781315370576-5
M. Proschan, P. Shaw
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引用次数: 0
Random Variables 随机变量
Pub Date : 2018-09-03 DOI: 10.1201/9781315370576-4
M. Proschan, P. Shaw
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引用次数: 0
Modes of Convergence 收敛模式
Pub Date : 2018-09-03 DOI: 10.1201/9781315370576-6
M. Proschan, P. Shaw
the sequence after N is always within ε of the supposed limit a. In contrast, the notion of convergence becomes somewhat more subtle when discussing convergence of functions. In this note we briefly describe a few modes of convergence and explain their relationship. Since the subject quickly becomes very technical, we will state many of the fundamental results without proof. Throughout this discussion, fix a probability space Ω and a sequence of random variables (Xn)n∈N. Also, let X be another random variable.
N之后的数列总是在假设极限a的ε范围内。相反,当讨论函数的收敛性时,收敛的概念就变得有些微妙了。在本文中,我们简要地描述几种收敛模式并解释它们之间的关系。由于这个主题很快就会变得非常技术性,我们将在没有证据的情况下陈述许多基本结果。在整个讨论中,固定一个概率空间Ω和一个随机变量序列(Xn)n∈n。同样,设X是另一个随机变量。
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引用次数: 0
Central Limit Theorems 中心极限定理
Pub Date : 2018-09-03 DOI: 10.1201/9781315370576-8
M. Proschan, P. Shaw
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引用次数: 0
期刊
Essentials of Probability Theory for Statisticians
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