Estimation of the mean when data contain non-ignorable missing values from a random effects model
type: Item
instance of: scholarly article
title: Estimation of the mean when data contain non-ignorable missing values from a random effects model
zbMATH Open document ID: 0795.62020
DOI: 10.1016/0167-7152(94)90112-0
author: Hui Quan
author: Myron N. Chang
author: Weichung Joseph Shih
published in: Statistics \& Probability Letters
publication date: 1994-05-24T00:00:00Z
Mathematics Subject Classification ID: 62F10
zbMATH DE Number: 571689
zbMATH Keywords: missing values
zbMATH Keywords: non-ignorable missing data process
zbMATH Keywords: EM algorithm
zbMATH Keywords: ECM algorithm
zbMATH Keywords: maximum likelihood
zbMATH Keywords: inference of incomplete data
zbMATH Keywords: random effects model
zbMATH Keywords: missing at random
zbMATH Keywords: distinct parameters
zbMATH Keywords: asymptotic bias
zbMATH Keywords: sample mean
zbMATH Keywords: moment estimators
zbMATH Keywords: marginal mean
MaRDI profile type: Publication
full work available at URL: 0167-7152(94)90112-0
OpenAlex ID: W1989367184
cites work: The effect of measurement error
cites work: Q4139463
cites work: Q4003037
cites work: Empirical Bayes Estimation of Rates in Longitudinal Studies
cites work: Random-Effects Models for Longitudinal Data
cites work: Maximum likelihood estimation via the ECM algorithm: A general framework
cites work: Inference and missing data
cites work: Q3736716
description: scientific article; zbMATH DE number 571689