Highlights•A review of significant advances in sensometrics is outlined.•Problem areas are
identified.•Ideas for future investigations are discussed.During the last few years, significant …

The purpose of this paper is to discuss the application of the Random Forest methodology to
sensory analysis. A methodological point of view is mainly adopted to describe as simply as …

Classification and regression trees are machine learning methods useful to model non-
linear and complex relationships. The objective of this study was to use classification tree …

In this paper, a hybrid model consisting of the fuzzy ARTMAP (FAM) neural network and the
classification and regression tree (CART) is formulated. FAM is useful for tackling the …

Colonial cheese is a traditional dairy product in southern Brazil. It has great socio-economic
importance and diversity in production processes. However, due to a lack of standardization …

Understanding consumers' preferences has always been important for economic theory and
for business practitioners in operations management, supply chain management, marketing …

The main objective of this paper is to describe and discuss the use of quantile regression in
consumer studies. The situation analyzed is one of relating segments of consumers …

The aim of the paper is to propose a quantile regression based strategy to assess
heterogeneity in a multi-block type data structure. Specifically, the paper deals with a …

This study aims to investigate the determinants of green smartphone application adoption
among users. The study employs content richness model and modified Unified Theory of …

O objetivo é apresentar uma proposta de mensuração do nível de urbanicidade das cidades
brasileiras com dados do censo 2010. Estudo ecológico que usou a classificação oficial do …