Cargando…
A new kind of stochastic restricted biased estimator for logistic regression model
In the logistic regression model, the variance of the maximum likelihood estimator is inflated and unstable when the multicollinearity exists in the data. There are several methods available in literature to overcome this problem. We propose a new stochastic restricted biased estimator. We study the...
Autores principales: | Alheety, M. I., Månsson, Kristofer, Golam Kibria, B. M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9042162/ https://www.ncbi.nlm.nih.gov/pubmed/35706568 http://dx.doi.org/10.1080/02664763.2020.1769576 |
Ejemplares similares
-
A new estimator for the multicollinear Poisson regression model: simulation and application
por: Lukman, Adewale F., et al.
Publicado: (2021) -
Biased Adjusted Poisson Ridge Estimators-Method and Application
por: Qasim, Muhammad, et al.
Publicado: (2020) -
A new Poisson Liu Regression Estimator: method and application
por: Qasim, Muhammad, et al.
Publicado: (2019) -
A new class of efficient and debiased two-step shrinkage estimators: method and application
por: Qasim, Muhammad, et al.
Publicado: (2021) -
A New Ridge-Type Estimator for the Linear Regression Model: Simulations and Applications
por: Kibria, B. M. Golam, et al.
Publicado: (2020)