Identification of high leverage points in binary logistic regression
Author:
Publisher
Author(s)
Reference14 articles.
1. A. S. Whittemore, Journal Applied Mathematics. 43 (3), 703–710 (1983).
2. S. A. Czepiel, Maximum Likelihood Estimation of Logistic Regression Models: Theory and Implementation, 2002, http://czep/net/stat/mlelr.pdf (accessed on 22 December 2013).
3. Genetics of early-onset obsessive–compulsive disorder
4. Influential Observations, High Leverage Points, and Outliers in Linear Regression
5. Logistic Regression Diagnostics
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Improved neural network model based on dung beetle algorithm to predict CO2-brine interfacial tension;Geoenergy Science and Engineering;2024-08
2. Improved Least Squares Support Vector Machine Model Based on Grey Wolf Optimizer Algorithm for Predicting CO2–Crude Oil Minimum Miscibility Pressure;Energy Technology;2024-01-24
3. Analysis of citizen’s perception towards segregation and composting;Environment, Development and Sustainability;2020-11-17
4. Effects of socio-economic factors on quantity and type of municipal solid waste;Management of Environmental Quality: An International Journal;2020-04-22
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3