A bias-reduced estimator for generalized Poisson regression with application to carbon dioxide emission in Canada
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-24142-0
Abstract: The generalized Poisson regression model (GPRM) provides a flexible framework for modeling count data, especially those exhibiting over- or underdispersion. Although the generalized Poisson maximum likelihood estimator is considered the standard method for estimating the… read more here.
Keywords: carbon dioxide; ridge estimator; generalized poisson; poisson regression ... See more keywords
Almost unbiased ridge estimator in the count data regression models
Sign Up to like & getrecommendations! Published in 2021 at "Electronic Journal of Applied Statistical Analysis"
DOI: 10.1285/i20705948v14n1p44
Abstract: The ridge estimator has been consistently demonstrated to be an attractive shrinkage method to reduce the effects of multicollinearity. The Poisson regression negative binomial regression models are well-known model in application when the response variable… read more here.
Keywords: regression; count data; ridge estimator; estimator ... See more keywords
Bootstrap-quantile ridge estimator for linear regression with applications.
Sign Up to like & getrecommendations! Published in 2024 at "PloS one"
DOI: 10.1371/journal.pone.0302221
Abstract: Bootstrap is a simple, yet powerful method of estimation based on the concept of random sampling with replacement. The ridge regression using a biasing parameter has become a viable alternative to the ordinary least square… read more here.
Keywords: bootstrap quantile; ridge; ridge estimator; regression ... See more keywords