APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering ...

This course provides an introduction to principles, terminology, and strategies for statistical modelling with the linear model as initial framework for data analysis. The linear model is a modelling ...

Abstract: The model free deadbeat predictive current control (MFDPCC) for linear permanent magnet synchronous motor (LPMSM) drive system is emerging as a promising method due to its straightforward ...

This study presents linear mixed model-based approaches for MET data analysis. Ten MET grain yield datasets from national variety trials in Ethiopia were used. Randomized complete block (RCB) design ...

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This code is designed to solve Bayesian quantile regression model with linear inequality constraints. Leveraging asymmetric Laplace distributions, we propose two novel Gibbs sampling methods based on ...

Amber said he’s careful with it but I don’t care. So now she’s mad at me. It’s like everything went south as soon as she started going out with Nick. Am I being unreasonable? Gee, I don’t know why ...