A two-parameter estimator in the negative binomial regression model
From MaRDI portal
Publication:5219211
DOI10.1080/00949655.2012.696648zbMath1453.62578OpenAlexW1992945711MaRDI QIDQ5219211
Publication date: 9 March 2020
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2012.696648
maximum likelihood estimatormean-squared errorLiu estimatorridge estimatortwo-parameter estimatornegative binomial regressionmean-squared error matrix
Related Items (17)
Two-parameter estimator for the inverse Gaussian regression model ⋮ A Jackknifed estimators for the negative binomial regression model ⋮ Principal component ridge type estimator for the inverse Gaussian regression model ⋮ Two parameter estimators for the Conway–Maxwell–Poisson regression model ⋮ Generalized two-parameter estimators in the multinomial logit regression model: methods, simulation and application ⋮ Developed first-order approximated estimators for the gamma distributed response variable ⋮ Improved two-parameter estimators for the negative binomial and Poisson regression models ⋮ Optimal determination of the parameters of some biased estimators using genetic algorithm ⋮ Multicollinearity in simultaneous equations system: evaluation of estimation performance of two-parameter estimator ⋮ Two parameter Ridge estimator in the inverse Gaussian regression model ⋮ Unnamed Item ⋮ A new two-parameter estimator for the Poisson regression model ⋮ Liu-Type Negative Binomial Regression: A Comparison of Recent Estimators and Applications ⋮ Estimation in a linear regression model with stochastic linear restrictions: a new two-parameter-weighted mixed estimator ⋮ Defining a two-parameter estimator: a mathematical programming evidence ⋮ A new linearized ridge Poisson estimator in the presence of multicollinearity ⋮ Iterative restricted OK estimator in generalized linear models and the selection of tuning parameters via MSE and genetic algorithm
Cites Work
- On Ridge Parameters in Logistic Regression
- A new class of blased estimate in linear regression
- Choosing Ridge Parameter for Regression Problems
- Performance of Some New Ridge Regression Estimators
- Restricted Estimation of Generalized Linear Models
- The Restricted and Unrestricted Two-Parameter Estimators
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
- Ridge Regression: Applications to Nonorthogonal Problems
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: A two-parameter estimator in the negative binomial regression model