Pages that link to "Item:Q2865265"
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The following pages link to Asymptotic Inference with Incomplete Data (Q2865265):
Displaying 18 items.
- Effects of unlabeled data on classification error in normal discriminant analysis (Q389294) (← links)
- Kernel regression estimation for incomplete data with applications (Q513697) (← links)
- Riesz-haviland criterion for incomplete data (Q534727) (← links)
- Bias reduction using surrogate endpoints as auxiliary variables (Q2317884) (← links)
- Information attainable in some randomly incomplete data models (Q2369516) (← links)
- Asymptotic comparison of semi-supervised and supervised linear discriminant functions for heteroscedastic normal populations (Q2418361) (← links)
- Effect of Violation of the Normal Assumption on MI and ML Estimators in the Analysis of Incomplete Data (Q2794791) (← links)
- Simplified maximum likelihood inference based on the likelihood decomposition for missing data (Q2802850) (← links)
- Consistency of Normal-Distribution-Based Pseudo Maximum Likelihood Estimates When Data Are Missing at Random (Q3160927) (← links)
- (Q5011475) (← links)
- A note on the properties of estimators in missing data analysis (Q5095999) (← links)
- Impact of the non-distinctness and non-ignorability on the inference by multiple imputation in multivariate multilevel data: a simulation assessment (Q5106889) (← links)
- On the use of the selection matrix in the maximum likelihood estimation of normal distribution models with missing data (Q5160263) (← links)
- Survival analysis of pension scheme mortality when data are missing (Q5228141) (← links)
- Asymptotic bias of normal‐distribution‐based maximum likelihood estimates of moderation effects with data missing at random (Q5234437) (← links)
- Analysis of incomplete data and an intrinsic-dimension Helly theorem (Q5901118) (← links)
- Asymptotically efficient recursive estimation for incomplete data models using the observed information. (Q5953726) (← links)
- A note on the bias of standard errors when orthogonality of mean and variance parameters is not satisfied in the mixed model for repeated measures analysis (Q6627323) (← links)
