On the performance of bias-reduction techniques for variance estimation in approximate Bayesian bootstrap imputation
type: Item
instance of: scholarly article
title: On the performance of bias-reduction techniques for variance estimation in approximate Bayesian bootstrap imputation
zbMATH Open document ID: 1161.62337
author: Hakan Demirtas
author: Lester M. Arguelles
author: Hwan Chung
author: Donald Hedeker
published in: Computational Statistics and Data Analysis
publication date: 2009-05-29T00:00:00Z
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62F40
Mathematics Subject Classification ID: 65C60
Mathematics Subject Classification ID: 62G09
zbMATH DE Number: 5559535
zbMATH Keywords: multiple imputation
zbMATH Keywords: variance estimation
zbMATH Keywords: bootstrapping
MaRDI profile type: Publication
full work available at URL: j.csda.2006.12.047
OpenAlex ID: W2131142771
cites work: A note on approximate Bayesian bootstrap imputation
cites work: Q4779059
cites work: A note on reducing the bias of the approximate Bayesian bootstrap imputation variance estimator
cites work: Q4654005
cites work: Multiple Imputation After 18+ Years
cites work: Multiple Imputation for Interval Estimation From Simple Random Samples With Ignorable Nonresponse
cites work: Q4246485
DOI: 10.1016/J.CSDA.2006.12.047
description: scientific article; zbMATH DE number 5559535