To guide practitioners, we summarize, illustrate, develop, and extend nonlinear modelling methods, and underscore caveats of Wald statistics using basic illustrations and give key …

Feb 9, 2024 · In this article, we introduce theories and methods of nonlinear regression and its statistical inferences using the frequentist and Bayesian statistical modeling and computation.

For a nonlinear regression function, both traces are curved. The angle between them still shows how strongly the two parameters θj and θk interplay, and hence how their estimators are …

Jun 5, 2010 · Linear models such as regression models or SEM often assume linear relationships between the variables. This assumption is often either wrong or a very crude approximation of …

The purpose of this chapter is to give an introduction to two of the most powerful tools that can be used to address nonlinear control and estimation problems - nonlinear model predictive control …

Jul 22, 2022 · ABSTRACT: Sparse identification of nonlinear dynamics (SINDy) is a recent nonlinear modeling technique that has demonstrated superior performance in modeling …

This study presented a beam-column joint modeling approach based on mathematical formulations available in the literature to aid practicing engineers in incorporating joint …