Pages that link to "Item:Q3625337"
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The following pages link to On Some Ridge Regression Estimators: An Empirical Comparisons (Q3625337):
Displaying 50 items.
- Selection of the Ridge Parameter Using Mathematical Programming (Q4929174) (← links)
- Modified Ridge Regression Estimators (Q4929201) (← links)
- On the performance of some new Liu parameters for the gamma regression model (Q4960740) (← links)
- Evaluation of the predictive performance of the <i>r-k</i> and <i>r-d</i> class estimators (Q4976274) (← links)
- Ridge Regression and Generalized Maximum Entropy: An improved version of the Ridge–GME parameter estimator (Q4976544) (← links)
- On the James-Stein estimator for the poisson regression model (Q5042151) (← links)
- New ridge estimators in the inverse Gaussian regression: Monte Carlo simulation and application to chemical data (Q5042201) (← links)
- Two-parameter estimator for the inverse Gaussian regression model (Q5042205) (← links)
- Ridge estimation in linear mixed measurement error models using generalized maximum entropy (Q5044088) (← links)
- Bayesian estimation of the biasing parameter for ridge regression: A novel approach (Q5055202) (← links)
- Optimum shrinkage parameter selection for ridge type estimator of Tobit model (Q5065265) (← links)
- On some beta ridge regression estimators: method, simulation and application (Q5065297) (← links)
- Performance of some new Liu parameters for the linear regression model (Q5077490) (← links)
- Bayesian estimation of ridge parameter under different loss functions (Q5079811) (← links)
- Modified ridge parameter estimators for log-gamma model: Monte Carlo evidence with a graphical investigation (Q5082685) (← links)
- A comparison of some new and old robust ridge regression estimators (Q5082693) (← links)
- Bayesian estimation of the shrinkage parameter in ridge regression (Q5083949) (← links)
- A Jackknifed estimators for the negative binomial regression model (Q5084964) (← links)
- Shrinkage parameter selection via modified cross-validation approach for ridge regression model (Q5086327) (← links)
- Estimation of variance components, heritability and the ridge penalty in high-dimensional generalized linear models (Q5086341) (← links)
- Efficiency of Mansson’s method: Some numerical findings about the role of biasing parameter in the estimation of distributed lag model (Q5088114) (← links)
- On the performance of some biased estimators in the gamma regression model: simulation and applications (Q5096662) (← links)
- Choice of the ridge factor from the correlation matrix determinant (Q5107320) (← links)
- A new Liu-type estimator for the Inverse Gaussian Regression Model (Q5107767) (← links)
- Uncertain stochastic ridge estimation in partially linear regression models with elliptically distributed errors (Q5110804) (← links)
- A jackknifed ridge estimator in probit regression model (Q5119169) (← links)
- Some ridge regression estimators for the zero-inflated Poisson model (Q5128955) (← links)
- A new modified Jackknifed estimator for the Poisson regression model (Q5138132) (← links)
- On the restricted almost unbiased Liu estimator in the logistic regression model (Q5154084) (← links)
- (Q5154658) (← links)
- Performance of some ridge regression estimators for the multinomial logit model (Q5160213) (← links)
- A Generalized Stochastic Restricted Ridge Regression Estimator (Q5172809) (← links)
- Jackknifing the Ridge Regression Estimator: A Revisit (Q5177618) (← links)
- Performance of Some Weighted Liu Estimators for Logit Regression Model: An Application to Swedish Accident Data (Q5249195) (← links)
- On the Restricted Liu Estimator in the Logistic Regression Model (Q5252818) (← links)
- Singular Ridge Regression With Stochastic Constraints (Q5259130) (← links)
- A Simulation Study of Some Biasing Parameters for the Ridge Type Estimation of Poisson Regression (Q5259141) (← links)
- Performance of Kibria, Khalaf, and Shurkur's methods when the eigenvalues are skewed (Q5267899) (← links)
- Semi-supervised learning with regularized Laplacian (Q5268919) (← links)
- Modified Liu-Type Estimator Based on (<i>r</i> − <i>k</i>) Class Estimator (Q5299074) (← links)
- Modified Liu-Type Estimator Based on (<i>r</i> − <i>k</i>) Class Estimator (Q5299076) (← links)
- Performance of Kibria's Method for the Heteroscedastic Ridge Regression Model: Some Monte Carlo Evidence (Q5415878) (← links)
- A Combined Nonlinear Programming Model and Kibria Method for Choosing Ridge Parameter Regression (Q5418880) (← links)
- Ridge Regression – A Simulation Study (Q5481738) (← links)
- A new robust ridge parameter estimator based on search method for linear regression model (Q5861188) (← links)
- A new kind of stochastic restricted biased estimator for logistic regression model (Q5861592) (← links)
- Modified ridge-type for the Poisson regression model: simulation and application (Q5865436) (← links)
- Performance of ridge estimator in inverse Gaussian regression model (Q5866118) (← links)
- On a new class of binomial ridge-type regression estimators (Q5866158) (← links)
- Bootstrap Liu estimators for Poisson regression model (Q6049853) (← links)