Assessment and Validation in Quantile Composite-Based Path Modeling

DOI10.1007/978-3-319-40643-5_13zbMath1366.62155OpenAlexW2530178771MaRDI QIDQ5278375

Pasquale Dolce, Cristina Davino, Vincenzo Esposito Vinzi

Publication date: 19 July 2017

Published in: Springer Proceedings in Mathematics & Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-40643-5_13

zbMATH Keywords

quantile regressionvalidationassessmentPLS-PMAmerican customer satisfaction indexquantile composite-based path modeling

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Linear regression; mixed models (62J05) Linear inference, regression (62J99)

Related Items (5)

Assessment and Validation in Quantile Composite-Based Path Modeling ⋮ IPLSL and IPLSQ: Two types of imputation PLS algorithms for hierarchical latent variable model ⋮ Quantile varying-coefficient structural equation model ⋮ Quantile composite-based path modeling: algorithms, properties and applications ⋮ A class of new partial least square algorithms for first and higher order models

Uses Software

• Stata
• bootstrap
• iqreg

Cites Work

• PLS path modeling
• Goodness-of-fit indices for partial least squares path modeling
• Handbook of partial least squares. Concepts, methods and applications.
• REBUS‐PLS: A response‐based procedure for detecting unit segments in PLS path modelling
• Robust Tests for Heteroscedasticity Based on Regression Quantiles
• Regression Quantiles
• A resampling method based on pivotal estimating functions
• Goodness of Fit and Related Inference Processes for Quantile Regression
• Assessment and Validation in Quantile Composite-Based Path Modeling
• Model-Robust Designs for Quantile Regression
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