Pages that link to "Item:Q654462"

The following pages link to An empirical likelihood approach to quantile regression with auxiliary information (Q654462):

Displaying 16 items.

• Empirical likelihood-based inference in Poisson autoregressive model with conditional moment restrictions (Q264921) (← links)
• Imputation based statistical inference for partially linear quantile regression models with missing responses (Q504185) (← links)
• Maximum weighted likelihood for discrete choice models with a dependently censored covariate (Q508101) (← links)
• Quantile regression and its empirical likelihood with missing response at random (Q725686) (← links)
• Smoothed empirical likelihood confidence intervals for quantile regression parameters with auxiliary information (Q1731265) (← links)
• Empirical likelihood-based inference in generalized random coefficient autoregressive model with conditional moment restrictions (Q1757362) (← links)
• Imputation-based empirical likelihood inferences for partially nonlinear quantile regression models with missing responses (Q2106833) (← links)
• Empirical likelihood-based inference in regressive model with moment restrictions (Q2217815) (← links)
• Empirical likelihood for composite quantile regression modeling (Q2346499) (← links)
• Random weighting estimation of confidence intervals for quantiles (Q2802825) (← links)
• Quantile regression models with factor‐augmented predictors and information criterion (Q3018487) (← links)
• Empirical likelihood and quantile regression in longitudinal data analysis (Q3107988) (← links)
• Penalized empirical likelihood for quantile regression with missing covariates and auxiliary information (Q4563514) (← links)
• Weighted composite quantile regression method via empirical likelihood for non linear models (Q5154077) (← links)
• Empirical Likelihood Estimation Using Auxiliary Summary Information with Different Covariate Distributions (Q5226637) (← links)
• Population-level information for improving quantile regression efficiency (Q6606036) (← links)