Liu-type estimator in Conway-Maxwell-Poisson regression model: theory, simulation and application
dc.contributor.author | Tanis, Caner | |
dc.contributor.author | Asar, Yasin | |
dc.date.accessioned | 2024-02-23T14:17:17Z | |
dc.date.available | 2024-02-23T14:17:17Z | |
dc.date.issued | 2024 | |
dc.department | NEÜ | en_US |
dc.description.abstract | Recently, many authors have been motivated to propose a new regression estimator in the case of multicollinearity. The most well-known of these estimators are ridge, Liu and Liu-type estimators. Many studies on regression models have shown that the Liu-type estimator is a good alternative to the ridge and Liu estimators in the literature. We consider a new Liu-type estimator, an alternative to ridge and Liu estimators in Conway-Maxwell-Poisson regression model. Moreover, we study the theoretical properties of the Liu-type estimator, and we provide some theorems showing under which conditions that the Liu-type estimator is superior to the others. Since there are two parameters of the Liu-type estimator, we also propose a method to select the parameters. We designed a simulation study to demonstrate the superiority of the Liu-type estimator compared to the ridge and Liu estimators. We also evaluated the usefulness and superiority of the proposed regression estimator with a practical data example. As a result of the simulation and real-world data example, we conclude that the proposed regression estimator is superior to its competitors according to the mean square error criterion. | en_US |
dc.identifier.doi | 10.1080/02331888.2023.2301326 | |
dc.identifier.issn | 0233-1888 | |
dc.identifier.issn | 1029-4910 | |
dc.identifier.scopus | 2-s2.0-85184154146 | en_US |
dc.identifier.scopusquality | Q3 | en_US |
dc.identifier.uri | https://doi.org/10.1080/02331888.2023.2301326 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12452/13030 | |
dc.identifier.wos | WOS:001142414800001 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Taylor & Francis Ltd | en_US |
dc.relation.ispartof | Statistics | 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 | Conway-Maxwell-Poisson Regression Model | en_US |
dc.subject | Liu Estimator | en_US |
dc.subject | Liu-Type Estimator | en_US |
dc.subject | Monte Carlo Simulation | en_US |
dc.subject | Multicollinearity | en_US |
dc.title | Liu-type estimator in Conway-Maxwell-Poisson regression model: theory, simulation and application | en_US |
dc.type | Article | en_US |