Uncertain logistic regression models
Gao, Jinling1; Gong, Zengtai2
2024
发表期刊AIMS MATHEMATICS
卷号9期号:5页码:10478-10493
摘要Logistic regression is a generalized nonlinear regression analysis model and is often used for data mining, automatic disease diagnosis, economic prediction, and other fields. In this paper, we first aimed to introduce the concept of uncertain logistic regression based on the uncertainty theory, as well as investigating the likelihood function in the sense of uncertain measure to represent the likelihood of unknown parameters.
关键词uncertain logistic regression maximum likelihood estimation uncertainty theory
DOI10.3934/math.2024512
收录类别SCIE
语种英语
WOS研究方向Mathematics
WOS类目Mathematics, Applied ; Mathematics
WOS记录号WOS:001186951900008
出版者AMER INST MATHEMATICAL SCIENCES-AIMS
原始文献类型Article
EISSN2473-6988
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被引频次[WOS]:0   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.lzufe.edu.cn/handle/39EH0E1M/36171
专题信息工程与人工智能学院
通讯作者Gong, Zengtai
作者单位1.Lanzhou Univ Finance & Econ, Sch Informat Engn & Artificial Intelligence, Lanzhou 730020, Peoples R China;
2.Northwest Normal Univ, Coll Math & Stat, Lanzhou 730070, Peoples R China
第一作者单位兰州财经大学
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Gao, Jinling,Gong, Zengtai. Uncertain logistic regression models[J]. AIMS MATHEMATICS,2024,9(5):10478-10493.
APA Gao, Jinling,&Gong, Zengtai.(2024).Uncertain logistic regression models.AIMS MATHEMATICS,9(5),10478-10493.
MLA Gao, Jinling,et al."Uncertain logistic regression models".AIMS MATHEMATICS 9.5(2024):10478-10493.
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