Modified ridge‐type estimator to combat multicollinearity: Application to chemical data-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Modified ridge‐type estimator to combat multicollinearity: Application to chemical data

Published:2019-04-07 Issue:5 Volume:33 Page:e3125
ISSN:0886-9383
Container-title:Journal of Chemometrics
language:en
Short-container-title:Journal of Chemometrics

Author:

Lukman Adewale F.¹^ORCID,Ayinde Kayode²,Binuomote Samuel³,Clement Onate A.¹

Affiliation:

1. Department of Physical SciencesLandmark University Omu‐Aran Kwara State Nigeria

2. Department of StatisticsFederal University of Technology Akure Ondo State Nigeria

3. Department of Agricultural EconomicsLadoke Akintola University of Technology Ogbomoso Oyo State Nigeria

Publisher

Wiley

Subject

Applied Mathematics,Analytical Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cem.3125

Reference33 articles.

1. Review and classifications of the ridge parameter estimation techniques;Lukman AF;Hacettepe Math Stat,2017

2. Newly proposed biased ridge estimator: an application to the Nigerian economy;Lukman AF;Pakistan J Stat,2018

3. Ridge regression: biased estimation for nonorthogonal problems;Hoerl AE;Dent Tech,1970

4. An evaluation of ridge estimators;Newhouse JP;Rand Rep,1971

5. A new class of blased estimate in linear regression

Cited by 87 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. Handling linear dependency in linear regression models: Almost unbiased modified ridge-type estimator;Scientific African;2024-09

2. On the preliminary test Kibria-Lukman estimator for the linear regression model;Communications in Statistics - Simulation and Computation;2024-08

3. The Raise Regression: Justification, Properties and Application;International Statistical Review;2024-05-02

4. Enhanced Model Predictions through Principal Components and Average Least Squares-Centered Penalized Regression;Symmetry;2024-04-12

5. Enhancing model predictions through the fusion of stein estimator and principal component regression;Journal of Statistical Computation and Simulation;2024-01-09

同舟云学术

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