Pages that link to "Item:Q537520"

The following pages link to Preliminary test Liu estimators based on the conflicting W, LR and LM tests in a regression model with multivariate Student-\(t\) error (Q537520):

Displaying 15 items.

• Efficiency of the restricted \(r\)-\(d\) class estimator in linear regression (Q273357) (← links)
• A class of biased estimators based on QR decomposition (Q307819) (← links)
• Optimal QR-based estimation in partially linear regression models with correlated errors using GCV criterion (Q1662035) (← links)
• Optimal critical values of a preliminary test for linear restrictions in a regression model with multivariate Student-\(t\) disturbances (Q1965934) (← links)
• Improved preliminary test and Stein-rule Liu estimators for the ill-conditioned elliptical linear regression model (Q2438629) (← links)
• On the Stein-Type Liu Estimator and Positive-Rule Stein-Type Liu Estimator in Multiple Linear Regression Models (Q2884881) (← links)
• Performance of the preliminary test two-parameter estimators based on the conflicting test statistics in a regression model with Student's<i>t</i>error (Q2892901) (← links)
• Preliminary Test Estimators Induced by Three Large Sample Tests for Stochastic Constraints in a Regression Model with Multivariate Student-t Error (Q2931560) (← links)
• More on the Preliminary Test Estimator in Almost Unbiased Liu Regression (Q3017840) (← links)
• Preliminary test Liu-type estimators based on W, LR, and LM test statistics in a regression model (Q4607334) (← links)
• On preliminary test almost unbiased two-parameter estimator in linear regression model with student's <i>t</i> errors (Q4638727) (← links)
• Some Liu and ridge-type estimators and their properties under the ill-conditioned Gaussian linear regression model (Q4913921) (← links)
• PMSE performance of two different types of preliminary test estimators under a multivariate <i>t</i> error term (Q5076902) (← links)
• Preliminary test almost unbiased two-parameter estimators with student’s<i>t</i>errors and conflicting test statistics (Q5076910) (← links)
• Developing a Liu estimator for the negative binomial regression model: method and application (Q5218905) (← links)