Despite the widespread application of finite mixture models, the decision of how many classes are required to adequately represent the data is, according to many authors, an important, but unsolved issue. This work aims to review, describe and organize the available approaches designed to help...

This work provides a broad review of the past literature on market segmentation, focusing on a discussion of proposed bases and classification methods. Multiple segmentation bases are detached, organized according to two axes - observable/ unobservable, general/ specific of the product and...

The aim of this work is to determine how well criteria designed to help the selection of the adequate number of mixture components perform in mixture regressions of normal data. We address this research question based on results of an extensive experimental design. The simulation experiment...

The purpose of this work is to provide an overview of what is perhaps the most common analysis context in market research – that of regression models for normally distributed data. In fact, examples of applications of these models continue to accumulate in the marketing literature, given their...

The aim of this work is to (1) analyse whether countries differ on political indicators (democracy, rule of law, government effectiveness and corruption) and (2) study whether countries with different political profiles are associated with different levels of economic, human development and...

In this paper we investigate the behaviour of credit default in start-up companies. Using a logit regression technique on a panel data of 1430 start-ups and considering a tracking period of three years, we tested the impact on the probability of occurrence of the first credit event in financing...