An information-theoretic approach to the effective usage of auxiliary information from survey data
type: Item
instance of: scholarly article
title: An information-theoretic approach to the effective usage of auxiliary information from survey data
zbMATH Open document ID: 1099.62011
author: Runchu Zhang
author: Changchun Wu
published in: Annals of the Institute of Statistical Mathematics
publication date: 2006-11-17T00:00:00Z
Mathematics Subject Classification ID: 62D05
Mathematics Subject Classification ID: 62B10
zbMATH DE Number: 5073732
zbMATH Keywords: calibration
zbMATH Keywords: entropy
zbMATH Keywords: cross-entropy
zbMATH Keywords: generalized regression estimator
zbMATH Keywords: empirical likelihood
zbMATH Keywords: optimal regression estimator
zbMATH Keywords: jackknife
MaRDI profile type: Publication
full work available at URL: s10463-005-0013-9
OpenAlex ID: W2136180794
cites work: The MM, ME, ML, EL, EF and GMM approaches to estimation: a synthesis.
cites work: Asymptotic normality and the bootstrap in stratified sampling
cites work: Empirical likelihood estimation for finite populations and the effective usage of auxiliary information
cites work: Q4257265
cites work: Calibration Estimators in Survey Sampling
cites work: A new estimation theory for sample surveys
cites work: Information Theoretic Approaches to Inference in Moment Condition Models
cites work: Empirical likelihood ratio confidence regions
cites work: Entropy, divergence and distance measures with econometric applications
DOI: 10.1007/S10463-005-0013-9
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description: scientific article; zbMATH DE number 5073732