Functional structural equation modeling with latent variables
F Asgari, V Vitelli, U Sailer - arXiv preprint arXiv:2412.19242, 2024 - arxiv.org
Handling latent variables in Structural Equation Models (SEMs) in a case where both the
latent variables and their corresponding indicators in the measurement error part of the …
latent variables and their corresponding indicators in the measurement error part of the …
Multivariate polynomial fit: Decay heat removal system and pectin degrading Fe3O4‐SiO2 nanobiocatalyst activity
B Muthusamy, S Ramalingam… - IET …, 2021 - Wiley Online Library
Herein, multivariate Lagrange's interpolation polynomial (MLIP) and multivariate least
square (MLS) methods are used to derive linear and higher‐order polynomials for two …
square (MLS) methods are used to derive linear and higher‐order polynomials for two …