统计学中的Alienor方法:katz和como - poisson似然函数的优化

M. K. Diafouka, C. G. Louzayadio
{"title":"统计学中的Alienor方法:katz和como - poisson似然函数的优化","authors":"M. K. Diafouka, C. G. Louzayadio","doi":"10.37418/jcsam.5.1.1","DOIUrl":null,"url":null,"abstract":"A BSTRACT . In this paper, we are interested in a new approach to optimizing the likelihood function of a distribution using the Alienor method. Indeed, the Alienor method is an optimization technique that allows to reduce a multivariate optimization problem to a single variable optimization problem that is easy to solve numerically. For this purpose, we consider the Katz and COM-Poisson distributions, whose maximization of their likelihood functions requires numerical methods. In a first step, we used real data, and, in a second step, we performed a simulation study. The results obtained are satisfactory, and the Alienor method proves to be very interesting in statistics, both for its simplicity and for its performance in converging to the absolute optimum.","PeriodicalId":361024,"journal":{"name":"Journal of Computer Science and Applied Mathematics","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ALIENOR METHOD APPLIED IN STATISTICS: OPTIMIZATION OF KATZ’S AND COM-POISSON’S LIKELIHOOD FUNCTIONS\",\"authors\":\"M. K. Diafouka, C. G. Louzayadio\",\"doi\":\"10.37418/jcsam.5.1.1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A BSTRACT . In this paper, we are interested in a new approach to optimizing the likelihood function of a distribution using the Alienor method. Indeed, the Alienor method is an optimization technique that allows to reduce a multivariate optimization problem to a single variable optimization problem that is easy to solve numerically. For this purpose, we consider the Katz and COM-Poisson distributions, whose maximization of their likelihood functions requires numerical methods. In a first step, we used real data, and, in a second step, we performed a simulation study. The results obtained are satisfactory, and the Alienor method proves to be very interesting in statistics, both for its simplicity and for its performance in converging to the absolute optimum.\",\"PeriodicalId\":361024,\"journal\":{\"name\":\"Journal of Computer Science and Applied Mathematics\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Computer Science and Applied Mathematics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.37418/jcsam.5.1.1\",\"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 Computer Science and Applied Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37418/jcsam.5.1.1","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

摘要。在本文中,我们感兴趣的是一种利用Alienor方法优化分布的似然函数的新方法。实际上,Alienor方法是一种优化技术,它可以将多元优化问题简化为易于数值求解的单变量优化问题。为此,我们考虑Katz和COM-Poisson分布,它们的似然函数的最大化需要数值方法。第一步,我们使用了真实数据,第二步,我们进行了模拟研究。得到的结果令人满意,并且证明了Alienor方法在统计学上是非常有趣的,因为它既简单又收敛到绝对最优。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ALIENOR METHOD APPLIED IN STATISTICS: OPTIMIZATION OF KATZ’S AND COM-POISSON’S LIKELIHOOD FUNCTIONS
A BSTRACT . In this paper, we are interested in a new approach to optimizing the likelihood function of a distribution using the Alienor method. Indeed, the Alienor method is an optimization technique that allows to reduce a multivariate optimization problem to a single variable optimization problem that is easy to solve numerically. For this purpose, we consider the Katz and COM-Poisson distributions, whose maximization of their likelihood functions requires numerical methods. In a first step, we used real data, and, in a second step, we performed a simulation study. The results obtained are satisfactory, and the Alienor method proves to be very interesting in statistics, both for its simplicity and for its performance in converging to the absolute optimum.
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
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信