GRIPE 发表于 2025-3-23 10:50:05

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debble 发表于 2025-3-23 17:40:58

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HOWL 发表于 2025-3-23 21:27:57

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obligation 发表于 2025-3-24 00:39:05

https://doi.org/10.1057/978-1-137-57574-6We now turn to special types of stochastic processes met in applications. Consider the following problem involving a growth model.

流眼泪 发表于 2025-3-24 04:21:44

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CRANK 发表于 2025-3-24 08:14:57

Gender Biases in African Historiography. To analyze such a series it is necessary, first of all, to have a mathematical model — more or less well specified — which is thought to be appropriate for a description of the random process causing or underlying this sequence of observations.

使混合 发表于 2025-3-24 11:44:24

Applied Mathematical Scienceshttp://image.papertrans.cn/a/image/140461.jpg

支架 发表于 2025-3-24 16:34:30

Tendai Chari,Nhamo A. Mhiripirike probability, likelihood, etc., we shall consider two in this course: the usual frequency approach (in this chapter) and the Bayesian one (in chapter 6: “Decision problems”). One should actually not speak of a single frequency approach, since there are several variations of it. That most commonly

闹剧 发表于 2025-3-24 20:49:12

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browbeat 发表于 2025-3-25 00:15:03

Max Du Plessis,Christopher Geverswhich we believe that either the variables are dependent upon each other or their probability distributions change with time, or both, the mathematical tools take on a quite different appearance. The relevant tool for studying such situations is the theory of random functions, that is, the theory of
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查看完整版本: Titlebook: A Course in Computational Probability and Statistics; Walter Freiberger,Ulf Grenander Book 1971 Brown University 1971 Probability.Simula.S