Abstract
Henseler, J., & Dijkstra, T. K. (2015). Consistent and asymptotically normal PLS estimators for linear structural equations. Computational Statistics & Data Analysis, 81(NA), 10-23. DOI: 10.1016/j.csda.2014.07.008
Keywords
Affiliated Institutions
Related Publications
Consistent Partial Least Squares for Nonlinear Structural Equation Models
Partial Least Squares as applied to models with latent variables, measured indirectly by indicators, is well-known to be inconsistent. The linear compounds of indicators that PL...
Partial least squares regression and projection on latent structure regression (PLS Regression)
Abstract Partial least squares (PLS) regression ( a.k.a. projection on latent structures) is a recent technique that combines features from and generalizes principal component a...
REBUS‐PLS: A response‐based procedure for detecting unit segments in PLS path modelling
Abstract Structural equation models (SEMs) make it possible to estimate the causal relationships, defined according to a theoretical model, linking two or more latent complex co...
Publication Info
- Year
- 2014
- Type
- article
- Volume
- 81
- Pages
- 10-23
- Citations
- 1066
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.1016/j.csda.2014.07.008