Performance of the almost unbiased ridge-type principal component estimator in logistic regression model
dc.contributor.author | Wu, Jibo | |
dc.contributor.author | Asar, Yasin | |
dc.date.accessioned | 2024-02-23T14:20:13Z | |
dc.date.available | 2024-02-23T14:20:13Z | |
dc.date.issued | 2018 | |
dc.department | NEÜ | en_US |
dc.description.abstract | This article considers some different parameter estimation methods in logistic regression model. In order to overcome multicollinearity, the almost unbiased ridge-type principal component estimator is proposed. The scalar mean squared error of the proposed estimator is derived and its properties are investigated. Finally, a numerical example and a simulation study are presented to show the performance of the proposed estimator. | en_US |
dc.description.sponsorship | National Natural Science Foundation of China [11501072] | en_US |
dc.description.sponsorship | This work was supported by the National Natural Science Foundation of China (No. 11501072). | en_US |
dc.identifier.doi | 10.1080/03610918.2017.1364384 | |
dc.identifier.endpage | 2937 | en_US |
dc.identifier.issn | 0361-0918 | |
dc.identifier.issn | 1532-4141 | |
dc.identifier.issue | 10 | en_US |
dc.identifier.scopus | 2-s2.0-85029450018 | en_US |
dc.identifier.scopusquality | Q3 | en_US |
dc.identifier.startpage | 2925 | en_US |
dc.identifier.uri | https://doi.org/10.1080/03610918.2017.1364384 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12452/13068 | |
dc.identifier.volume | 47 | en_US |
dc.identifier.wos | WOS:000449681200008 | en_US |
dc.identifier.wosquality | Q4 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Taylor & Francis Inc | en_US |
dc.relation.ispartof | Communications In Statistics-Simulation And Computation | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Almost Unbiased Ridge Estimator | en_US |
dc.subject | Eigenvalues | en_US |
dc.subject | Logistic Regression Model | en_US |
dc.subject | Principal Component | en_US |
dc.subject | Scalar Mean Squared Error | en_US |
dc.title | Performance of the almost unbiased ridge-type principal component estimator in logistic regression model | en_US |
dc.type | Article | en_US |