Comparing generalised maximum entropy and partial least squares methods for structural equation models

DOI10.1080/10485250903009037zbMath1175.62003OpenAlexW2151938103WikidataQ60498762 ScholiaQ60498762MaRDI QIDQ3648633

Amjad D. Al-Nasser, Enrico Ciavolino

Publication date: 27 November 2009

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485250903009037

zbMATH Keywords

tablespartial least squaresstructural equation modelscustomer satisfaction indexmessy datageneralised maximum entropy

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05) Applications of statistics in engineering and industry; control charts (62P30) Monte Carlo methods (65C05) Statistical aspects of information-theoretic topics (62B10)

Related Items (12)

Streaming generalized cross entropy ⋮ A generalized maximum entropy estimator to simple linear measurement error model with a composite indicator ⋮ Quantile varying-coefficient structural equation model ⋮ Maximum entropy and empirical likelihood in length-biased setting: a comparison study ⋮ An approach to setting up a national customer satisfaction index: the Jordan case study ⋮ Optimizing a control plan using a structural equation model with an application to statistical process analysis ⋮ Two steps generalized maximum entropy estimation procedure for fitting linear regression when both covariates are subject to error ⋮ Using the Hybrid Two-Step estimation approach for the identification of second-order latent variable models ⋮ Modelling the quality of work in the Italian social co-operatives combining NPCA-RSM and SEM-GME approaches ⋮ Generalized cross entropy method for analysing the SERVQUAL model ⋮ Ridge Regression and Generalized Maximum Entropy: An improved version of the Ridge–GME parameter estimator ⋮ A class of new partial least square algorithms for first and higher order models

Uses Software

• NLPQL

Cites Work

• Unnamed Item
• Unnamed Item
• PLS path modeling
• A Mathematical Theory of Communication
• A maximum entropy approach to estimation and inference in dynamic models or Counting fish in the sea using maximum entropy
• Generalized structured component analysis
• A fix-point theorem with econometric background. I: The theorem. II: Illustrations. Further developments
• Information Theory and Statistical Mechanics
• An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias

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