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Titlebook: Non-Uniform Random Variate Generation; Luc Devroye Book 1986 Springer Science+Business Media New York 1986 Area.Generator.Random variable.

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樓主
發(fā)表于 2025-3-21 17:18:14 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Non-Uniform Random Variate Generation
編輯Luc Devroye
視頻videohttp://file.papertrans.cn/668/667052/667052.mp4
圖書封面Titlebook: Non-Uniform Random Variate Generation;  Luc Devroye Book 1986 Springer Science+Business Media New York 1986 Area.Generator.Random variable.
出版日期Book 1986
關(guān)鍵詞Area; Generator; Random variable; computer; form; model; object; randomness; set; variable
版次1
doihttps://doi.org/10.1007/978-1-4613-8643-8
isbn_softcover978-1-4613-8645-2
isbn_ebook978-1-4613-8643-8
copyrightSpringer Science+Business Media New York 1986
The information of publication is updating

書目名稱Non-Uniform Random Variate Generation影響因子(影響力)




書目名稱Non-Uniform Random Variate Generation影響因子(影響力)學(xué)科排名




書目名稱Non-Uniform Random Variate Generation網(wǎng)絡(luò)公開度




書目名稱Non-Uniform Random Variate Generation網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Non-Uniform Random Variate Generation被引頻次




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書目名稱Non-Uniform Random Variate Generation年度引用學(xué)科排名




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沙發(fā)
發(fā)表于 2025-3-22 00:14:46 | 只看該作者
https://doi.org/10.1007/978-1-4613-8643-8Area; Generator; Random variable; computer; form; model; object; randomness; set; variable
板凳
發(fā)表于 2025-3-22 04:19:06 | 只看該作者
Discrete Random Variates,riable is a random variable which takes with probability one values in a given countable set of points. Since there is a one-to-one correspondence between any countable set and the nonnegative integers, it is clear that we need not consider the general case. In most cases of interest to the practitioner, this one-to-one correspondence is obvious.
地板
發(fā)表于 2025-3-22 04:42:08 | 只看該作者
978-1-4613-8645-2Springer Science+Business Media New York 1986
5#
發(fā)表于 2025-3-22 10:40:03 | 只看該作者
Overview: 978-1-4613-8645-2978-1-4613-8643-8
6#
發(fā)表于 2025-3-22 13:35:23 | 只看該作者
7#
發(fā)表于 2025-3-22 18:56:41 | 只看該作者
Multivariate Distributions,In section V.4, we have discussed in great detail how one can efficiently generate random vectors in .. with radially symmetric distributions. Included in that section were methods for generating random vectors uniformly distributed in and on the unit sphere .. of ...
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發(fā)表于 2025-3-23 00:34:38 | 只看該作者
Random Sampling,In this chapter we consider the problem of the selection of a random sample of size . from a set of . objects. This is also called sampling without replacement since duplicates are not allowed. There are several issues here which should be clarified in this, the introductory section.
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發(fā)表于 2025-3-23 05:01:27 | 只看該作者
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發(fā)表于 2025-3-23 08:09:19 | 只看該作者
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