Asymptotic bias of normal-distribution-based maximum likelihood estimates of moderation effects with data missing at random

A double-copula stochastic frontier model with dependent error components and correction for sample selection

(2017) Songsak Sriboonchitta et al.   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

Endogenous environmental variables in stochastic frontier models

(2017) Christine Amsler et al.   JOURNAL OF ECONOMETRICS

Multiple imputation of covariates by fully conditional specification: Accommodating the substantive model

(2014) Jonathan W Bartlett et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Consistency, bias and efficiency of the normal-distribution-based MLE: The role of auxiliary variables

(2013) Ke-Hai Yuan et al.   JOURNAL OF MULTIVARIATE ANALYSIS

Multiple imputation of missing covariates with non-linear effects and interactions: an evaluation of statistical methods

(2012) Shaun R Seaman et al.   BMC Medical Research Methodology

Using Heteroscedasticity to Identify and Estimate Mismeasured and Endogenous Regressor Models

(2012) Arthur Lewbel   JOURNAL OF BUSINESS & ECONOMIC STATISTICS

On Testability of Missing Data Mechanisms in Incomplete Data Sets

(2011) Tenko Raykov   STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL

Consistency of Normal-Distribution-Based Pseudo Maximum Likelihood Estimates When Data Are Missing at Random

(2010) Ke-Hai Yuan et al.   AMERICAN STATISTICIAN

Normal distribution based pseudo ML for missing data: With applications to mean and covariance structure analysis

(2009) Ke-Hai Yuan   JOURNAL OF MULTIVARIATE ANALYSIS