Pages that link to "Item:Q2316741"

The following pages link to Minimum phi-divergence estimators for multinomial logistic regression with complex sample design (Q2316741):

Displaying 9 items.

• Minimum \(\phi\)-divergence estimation in constrained latent class models for binary data (Q906050) (← links)
• A new family of BAN estimators for polytomous logistic regression models based on \(\varphi\)-diver\-gence measures (Q1001725) (← links)
• Minimum \(\phi\)-divergence estimators with constraints in multinomial populations (Q1600754) (← links)
• Robust semiparametric inference for polytomous logistic regression with complex survey design (Q2051581) (← links)
• On the choice of the optimal tuning parameter in robust one-shot device testing analysis (Q2087079) (← links)
• Stein-type estimation in logistic regression models based on minimum \(\phi\)-divergence estimators (Q2510609) (← links)
• Minimum \(\varphi\)-divergence estimator for homogeneity in multinomial populations (Q2767479) (← links)
• Robust Wald-type tests based on minimum Rényi pseudodistance estimators for the multiple linear regression model (Q5036901) (← links)
• Testing linear hypotheses in logistic regression analysis with complex sample survey data based on phi-divergence measures (Q5079132) (← links)