Optimal stochastic restricted logistic estimator
From MaRDI portal
Publication:2066535
DOI10.1007/s00362-019-01121-yzbMath1477.62193OpenAlexW2955972592WikidataQ127592434 ScholiaQ127592434MaRDI QIDQ2066535
Nagarajah Varathan, Pushpakanthie Wijekoon
Publication date: 14 January 2022
Published in: Statistical Papers (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00362-019-01121-y
Cites Work
- Unnamed Item
- Using principal components for estimating logistic regression with high-dimensional multicollinear data
- Modified restricted Liu estimator in logistic regression model
- Linear models. Least squares and alternatives
- Predictive performance of linear regression models
- Logistic Liu estimator under stochastic linear restrictions
- Linear models and generalizations. Least squares and alternatives. With contributions by Michael Schomaker.
- On almost unbiased ridge logistic estimator for the logistic regression model
- On Ridge Parameters in Logistic Regression
- New Shrinkage Parameters for the Liu-type Logistic Estimators
- On the small sample properties of norm-restricted maximum likelihood estimators for logistic regression models
- Mean squared error matrix comparisons between biased estimators — An overview of recent results
- A Monte Carlo Evaluation of Some Ridge-Type Estimators
- Optimal generalized logistic estimator
- Restricted ridge estimator in the logistic regression model
- Performance of Some New Ridge Regression Estimators
- Liu-Type Logistic Estimator
- On the Restricted Liu Estimator in the Logistic Regression Model
- Developing a restricted two-parameter Liu-type estimator: A comparison of restricted estimators in the binary logistic regression model
This page was built for publication: Optimal stochastic restricted logistic estimator