An information-theoretic approach to the effective usage of auxiliary information from survey data

DOI10.1007/s10463-005-0013-9zbMath1099.62011OpenAlexW2136180794MaRDI QIDQ853817

Run-Chu Zhang, Chang-Chun Wu

Publication date: 17 November 2006

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10463-005-0013-9

zbMATH Keywords

entropycalibrationcross-entropyempirical likelihoodjackknifegeneralized regression estimatoroptimal regression estimator

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Statistical aspects of information-theoretic topics (62B10)

Related Items (2)

Quantifying information content in survey data by entropy ⋮ Cross-entropy minimization estimation for two-phase sampling and non-response

Cites Work

• Unnamed Item
• Empirical likelihood ratio confidence regions
• Asymptotic normality and the bootstrap in stratified sampling
• The MM, ME, ML, EL, EF and GMM approaches to estimation: a synthesis.
• Entropy, divergence and distance measures with econometric applications
• Calibration Estimators in Survey Sampling
• Information Theoretic Approaches to Inference in Moment Condition Models
• Empirical likelihood estimation for finite populations and the effective usage of auxiliary information
• A new estimation theory for sample surveys

This page was built for publication: An information-theoretic approach to the effective usage of auxiliary information from survey data