Pages that link to "Item:Q4707014"

The following pages link to Performance of Some New Ridge Regression Estimators (Q4707014):

Displaying 50 items.

• 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)
• The modified Liu-ridge-type estimator: a new class of biased estimators to address multicollinearity (Q5055152) (← links)
• Bayesian estimation of the biasing parameter for ridge regression: A novel approach (Q5055202) (← links)
• A new class of efficient and debiased two-step shrinkage estimators: method and application (Q5056940) (← links)
• (Q5063390) (← links)
• Tobit Liu estimation of censored regression model: an application to Mroz data and a Monte Carlo simulation study (Q5065232) (← links)
• A new biased estimation method in tobit regression: theory and application (Q5065243) (← 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)
• Estimation of parameters in linear mixed measurement error models with stochastic linear restrictions (Q5078069) (← links)
• Elliptical difference based ridge and Liu type estimators in partial linear measurement error models (Q5079110) (← links)
• Bayesian estimation of ridge parameter under different loss functions (Q5079811) (← links)
• The weighted ridge estimation for linear mixed models with measurement error under stochastic linear mixed restrictions (Q5079884) (← links)
• Diagnostic techniques for the inverse Gaussian regression model (Q5081008) (← links)
• New shrinkage parameters for the inverse Gaussian Liu regression (Q5081051) (← links)
• Modified ridge parameter estimators for log-gamma model: Monte Carlo evidence with a graphical investigation (Q5082685) (← links)
• The new mixed ridge estimator in a linear mixed model with measurement error under stochastic linear mixed restrictions (Q5082686) (← links)
• A comparison of some new and old robust ridge regression estimators (Q5082693) (← links)
• Quantile-based robust ridge m-estimator for linear regression model in presence of multicollinearity and outliers (Q5082774) (← links)
• Modified almost unbiased Liu estimator in logistic regression (Q5082795) (← links)
• Determining the optimal ridge parameter in logistic regression (Q5082798) (← links)
• A restricted gamma ridge regression estimator combining the gamma ridge regression and the restricted maximum likelihood methods of estimation (Q5083340) (← links)
• Quantile based estimation of biasing parameters in ridge regression model (Q5083892) (← links)
• Bayesian estimation of the shrinkage parameter in ridge regression (Q5083949) (← links)
• A modified ridge m-estimator for linear regression model with multicollinearity and outliers (Q5084787) (← links)
• On the performance of the poisson and the negative binomial ridge predictors (Q5084952) (← links)
• A Jackknifed estimators for the negative binomial regression model (Q5084964) (← links)
• Performance of the principal component two-parameter estimator in misspecified linear regression model (Q5084979) (← links)
• Performance of the almost unbiased ridge-type principal component estimator in logistic regression model (Q5085072) (← links)
• Restricted ridge estimator in generalized linear models: Monte Carlo simulation studies on Poisson and binomial distributed responses (Q5085925) (← links)
• Shrinkage parameter selection via modified cross-validation approach for ridge regression model (Q5086327) (← links)
• The coefficient of determination in the ridge regression (Q5086350) (← links)
• Liu-type estimator for the gamma regression model (Q5088092) (← 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)
• A modified one parameter Liu estimator for Conway-Maxwell Poisson response model (Q5096665) (← links)
• The feasible generalized restricted ridge regression estimator (Q5106816) (← links)
• The Almon two parameter estimator for the distributed lag models (Q5106823) (← links)
• On ridge parameter estimators under stochastic subspace hypothesis (Q5106833) (← links)
• Choice of the ridge factor from the correlation matrix determinant (Q5107320) (← links)
• Improved two-parameter estimators for the negative binomial and Poisson regression models (Q5107477) (← links)
• Optimal determination of the parameters of some biased estimators using genetic algorithm (Q5107525) (← links)
• A new Liu-type estimator for the Inverse Gaussian Regression Model (Q5107767) (← links)
• A jackknifed ridge estimator in probit regression model (Q5119169) (← links)
• Developing ridge estimation method for median regression (Q5127125) (← links)
• Some ridge regression estimators for the zero-inflated Poisson model (Q5128955) (← links)
• Robust two parameter ridge M-estimator for linear regression (Q5130264) (← links)
• A restricted Liu estimator for binary regression models and its application to an applied demand system (Q5138062) (← links)