Principal component analysis (PCA) is a multivariate technique that analyzes a data table in
which observations are described by several inter‐correlated quantitative dependent …

Statistical analysis techniques such as principal component analysis (PCA) and discriminant
analysis (DA) have become an integral part of data analysis for differential sensing. These …

In response to calls to expand knowledge on consumer willingness to reduce meat
consumption and to adopt a more plant-based diet, this work advances the construct of meat …

RESUMO A análise fatorial exploratória (AFE) é um conjunto de técnicas estatísticas
amplamente utilizadas nas pesquisas em Psicologia. Durante sua execução, diversas …

This article aims to introduce the reader to essential tools that can be used to obtain insights
and build predictive models using large data sets. Recent user proliferation in the digital …

Abstract Building Information Modeling (BIM) has emerged as one of the key streams in
construction and civil engineering research within the last decade. Given this interest in BIM …

The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

Corporate sustainability performance is a multidimensional concept based on the original
idea of sustainable development, replacing the traditional understanding of corporate …

The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

The aim of this article is to comprehend the motivation of citizens to co-produce. More
specifically, it considers citizens' motivations to engage in co-planning activities of health …