A weighted composite likelihood approach to inference from clustered survey data under a two-level model
type: Item
instance of: scholarly article
title: A weighted composite likelihood approach to inference from clustered survey data under a two-level model
zbMATH Open document ID: 1472.62017
author: Laura Dumitrescu
author: Wei Qian
author: J. N. K. Rao
published in: Sankhyā. Series A
publication date: 2021-09-01T00:00:00Z
Mathematics Subject Classification ID: 62D05
Mathematics Subject Classification ID: 62F12
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 7389308
zbMATH Keywords: asymptotic distributions
zbMATH Keywords: clustered survey data
zbMATH Keywords: generalised score test
zbMATH Keywords: likelihood-ratio type test
zbMATH Keywords: weighted pairwise log-likelihood
MaRDI profile type: Publication
full work available at URL: s13171-020-00234-z
OpenAlex ID: W3118559993
cites work: General Multi-Level Modeling with Sampling Weights
cites work: On the Variances of Asymptotically Normal Estimators from Complex Surveys
cites work: Q5457406
cites work: Inference for longitudinal data from complex sampling surveys: An approach based on quadratic inference functions
cites work: Q5791397
cites work: On chi-squared tests for multiway contingency tables with cell proportions estimated from survey data
cites work: On the two-phase framework for joint model and design-based inference
cites work: On composite marginal likelihoods
cites work: Q3074760
cites work: A weighted composite likelihood approach for analysis of survey data under two-level models
cites work: Asymptotics of estimating equations under natural conditions.
DOI: 10.1007/S13171-020-00234-Z
description: scientific article; zbMATH DE number 7389308