The data used in this article is cited directly from the data provided in the textbook. For data with a small number of entries, we register the data in the code, and for data with a large number of ...

Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved from https://archive.ics.uci.edu/ml/datasets ...

pwtools is a Python package for pre- and postprocessing of atomistic calculations, mostly targeted to Quantum Espresso, CPMD, CP2K and LAMMPS. It is almost, but not quite, entirely unlike ASE, with ...

Abstract: We have introduced a novel multivariate regression model, called General Nk Hidden Multi-Layer Feed Forward Neural Network Model. The model prediction power comes essentially from a ...

ABSTRACT: In this paper, the problem of Nonparametric Estimation of Finite Population Totals in high dimensional datasets is considered. A robust estimator of the Finite Population Total based on ...

Compared to conventional photon-based radiotherapy, proton therapy offers the advantage of a pronounced dose maximum at the Bragg peak, which can be tailored to a predefined tumour volume while ...

Cognitive tasks engage multiple brain regions. Studying how these regions interact is key to understand the neural bases of cognition. Standard approaches to model the interactions between brain ...