使用广义兰伯特 W 函数模拟二项分布和负二项分布

C.Y. Chew , G. Teng , Y.S. Lai
{"title":"使用广义兰伯特 W 函数模拟二项分布和负二项分布","authors":"C.Y. Chew ,&nbsp;G. Teng ,&nbsp;Y.S. Lai","doi":"10.1016/j.jcmds.2024.100092","DOIUrl":null,"url":null,"abstract":"<div><p>We present a simulation method for generating random variables from Erlang and negative binomial distributions using the generalized Lambert <span><math><mi>W</mi></math></span> function. The generalized Lambert <span><math><mi>W</mi></math></span> function is utilized to solve the quantile functions of these distributions, allowing for efficient and accurate generation of random variables. The simulation procedure is based on Halley’s method and is demonstrated through the generation of 100,000 random variables for each distribution. The results show close agreement with the theoretical mean and variance values, indicating the effectiveness of the proposed method. This approach offers a valuable tool for generating random variables from Erlang and negative binomial distributions in various applications.</p></div>","PeriodicalId":100768,"journal":{"name":"Journal of Computational Mathematics and Data Science","volume":"10 ","pages":"Article 100092"},"PeriodicalIF":0.0000,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772415824000038/pdfft?md5=106597da03409e1369af24276ca25af6&pid=1-s2.0-S2772415824000038-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Simulation of Erlang and negative binomial distributions using the generalized Lambert W function\",\"authors\":\"C.Y. Chew ,&nbsp;G. Teng ,&nbsp;Y.S. Lai\",\"doi\":\"10.1016/j.jcmds.2024.100092\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>We present a simulation method for generating random variables from Erlang and negative binomial distributions using the generalized Lambert <span><math><mi>W</mi></math></span> function. The generalized Lambert <span><math><mi>W</mi></math></span> function is utilized to solve the quantile functions of these distributions, allowing for efficient and accurate generation of random variables. The simulation procedure is based on Halley’s method and is demonstrated through the generation of 100,000 random variables for each distribution. The results show close agreement with the theoretical mean and variance values, indicating the effectiveness of the proposed method. This approach offers a valuable tool for generating random variables from Erlang and negative binomial distributions in various applications.</p></div>\",\"PeriodicalId\":100768,\"journal\":{\"name\":\"Journal of Computational Mathematics and Data Science\",\"volume\":\"10 \",\"pages\":\"Article 100092\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2772415824000038/pdfft?md5=106597da03409e1369af24276ca25af6&pid=1-s2.0-S2772415824000038-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Computational Mathematics and Data Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2772415824000038\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational Mathematics and Data Science","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772415824000038","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

我们介绍了一种利用广义兰伯特 W 函数从二项分布和负二项分布生成随机变量的模拟方法。广义兰伯特 W 函数用于求解这些分布的量子函数,从而高效、准确地生成随机变量。模拟程序以哈雷法为基础,通过为每种分布生成 100,000 个随机变量进行了演示。结果显示与理论均值和方差值非常接近,说明所提出的方法非常有效。这种方法为在各种应用中从二项分布和负二项分布生成随机变量提供了宝贵的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Simulation of Erlang and negative binomial distributions using the generalized Lambert W function

We present a simulation method for generating random variables from Erlang and negative binomial distributions using the generalized Lambert W function. The generalized Lambert W function is utilized to solve the quantile functions of these distributions, allowing for efficient and accurate generation of random variables. The simulation procedure is based on Halley’s method and is demonstrated through the generation of 100,000 random variables for each distribution. The results show close agreement with the theoretical mean and variance values, indicating the effectiveness of the proposed method. This approach offers a valuable tool for generating random variables from Erlang and negative binomial distributions in various applications.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
3.00
自引率
0.00%
发文量
0
期刊最新文献
Efficiency of the multisection method Bayesian optimization of one-dimensional convolutional neural networks (1D CNN) for early diagnosis of Autistic Spectrum Disorder Novel color space representation extracted by NMF to segment a color image Enhanced MRI brain tumor detection and classification via topological data analysis and low-rank tensor decomposition Artifact removal from ECG signals using online recursive independent component analysis
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1