Using the computer to design objects by modeling their components with real-world behaviors and attributes. Typically specialized for either mechanical design or building design, a parametric modeler ...

Welcome to the Hypothesis Testing Tutorial repository! This tutorial covers a wide range of parametric and non-parametric hypothesis tests commonly used in data science, presented in the form of ...

Abstract: Aiming at the problem of 3D point cloud data segmentation and inverse parametric modeling, this paper proposes a segmentation algorithm and inverse parametric modeling technology using the ...

The Mobius strip is modeled using the parametric equations: [ \begin{cases} x(u,v) = (R + v \cdot \cos \frac{u}{2}) \cdot \cos u \ y(u,v) = (R + v \cdot \cos \frac{u ...

In oncology drug development, tumor dynamics modeling is widely applied to predict patients' overall survival (OS) via parametric models. However, the current modeling paradigm, which assumes a ...

Robustness of covariate modeling for the missing-covariate problem in parametric regression is studied under the missing-at-random assumption. For a simple missing-covariate pattern, nonparametric ...