Pages that link to "Item:Q4994800"
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The following pages link to Pseudo likelihood‐based estimation and testing of missingness mechanism function in nonignorable missing data problems (Q4994800):
Displaying 10 items.
- On classification with nonignorable missing data (Q2034467) (← links)
- On the maximal deviation of kernel regression estimators with NMAR response variables (Q2093143) (← links)
- A LIKELIHOOD BASED TEST FOR THE WEAKEST-LINK PROPERTY USING NON-PARAMETRIC PRINCIPLES AND IN THE PRESENCE OF MISSING DATA (Q4416913) (← links)
- A Semiparametric Estimation of Mean Functionals With Nonignorable Missing Data (Q5256408) (← links)
- Statistical methods without estimating the missingness mechanism: a discussion of ‘statistical inference for nonignorable missing data problems: a selective review’ by Niansheng Tang and Yuanyuan Ju (Q5879967) (← links)
- A Versatile Estimation Procedure Without Estimating the Nonignorable Missingness Mechanism (Q6110710) (← links)
- A unified framework of analyzing missing data and variable selection using regularized likelihood (Q6561261) (← links)
- On regression and classification with possibly missing response variables in the data (Q6594919) (← links)
- A kernel-type regression estimator for NMAR response variables with applications to classification (Q6606047) (← links)
- Sequential Data Integration Under Dataset Shift (Q6637492) (← links)
