Liu-Type Negative Binomial Regression: A Comparison of Recent Estimators and Applications
From MaRDI portal
Publication:4689244
DOI10.1007/978-3-319-73241-1_2zbMath1397.62257arXiv1604.02335OpenAlexW2340885817MaRDI QIDQ4689244
Publication date: 15 October 2018
Published in: Contributions to Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1604.02335
Ridge regression; shrinkage estimators (Lasso) (62J07) Point estimation (62F10) General nonlinear regression (62J02)
Related Items
Liu-type estimator in Conway–Maxwell–Poisson regression model: theory, simulation and application ⋮ Ridge-type shrinkage estimators in generalized linear models with an application to prostate cancer data
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Negative Binomial Regression
- On Ridge Parameters in Logistic Regression
- Ridge regression in two-parameter solution
- Some Modifications for Choosing Ridge Parameters
- Collinearity in generalized linear models
- Ridge regression:some simulations
- A new class of blased estimate in linear regression
- Collinearity in generalized linear regression
- Performance of Some New Ridge Regression Estimators
- Using Liu-Type Estimator to Combat Collinearity
- Regression Analysis of Count Data
- A new modified Jackknifed estimator for the Poisson regression model
- Developing a Liu estimator for the negative binomial regression model: method and application
- A two-parameter estimator in the negative binomial regression model
- Ridge Regression: Biased Estimation for Nonorthogonal Problems