Mitzi Cubilla-Montilla

• PhD in Statistics Applied Multivariate
• PhD in Statistics at Universidad de Panamá - Campus

In the hydrometeorological context of watersheds, water quality is strongly related to its physical, chemical, and biological characteristics. In this regard, the joint analysis of these parameters at the watershed level is highly important. The objective of this study was to analyze a total of twenty-three (23) physicochemical and biological water...

El Dióxido de Carbono (CO2) ha tomado importancia en esta década, grandes cantidades de este gas tóxico se almacenan en la atmósfera, alterando la vida cotidiana de las personas y contribuyendo al calentamiento global. Esta investigación se enfocó en realizar una estimación de carbono de la biomasa en tres parques del corregimiento Rufina Alfaro, C...

El proyecto de investigación tiene como objetivo abordar el problema de la deserción estudiantil en la Licenciatura en Matemática y en Docencia de Matemática del Campus de la Universidad de Panamá, con el fin de desarrollar una intervención efectiva que ayude a reducir la tasa de deserción y mejorar la retención de estudiantes. El enfoque de la inv...

This paper aims to categorize countries by their e-participation index, according to political, capacity, and governmental environment factors; examine how they are projected based on these factors; and analyze whether this projection corresponds to the current state of e-participation development. It is the first study to provide an overview of th...

The desire of universities to promote environmental sustainability is reflected in initiatives that seek to implement policies to promote green and sustainable campuses, not only in environmental issues but also in social and economic aspects, thus covering the three dimensions of sustainability. In this sense, several approaches have been develope...

In this paper, we derive an optimal model for calculating the instantaneous reproduction number, which is an important metric to help in controlling the evolution of epidemics. Our approach, within a frequentist framework, gave us the opportunity to calculate a more realistic confidence interval, a fundamental tool for a safe interpretation of the...

Multi-set multivariate data analysis methods provide a way to analyze a series of tables together. In particular, the STATIS-dual method is applied in data tables where individuals can vary from one table to another, but the variables that are analyzed remain fixed. However, when you have a large number of variables or indicators, interpretation th...

The HJ biplot is a multivariate analysis technique that allows us to represent both individuals and variables in a space of reduced dimensions. To adapt this approach to massive datasets, it is necessary to implement new techniques that are capable of reducing the dimensionality of the data and improving interpretation. Because of this, we propose...

Currently, the debate on corporate social responsibility (CSR) and the strategies implemented by organizations to disseminate their business actions, fuels the discussion on aspects that point to sustainable development. To show their CSR strategies, one of the mechanisms used by companies is the presentation of sustainability reports. In this work...

The information contained in corporate social responsibility (CSR) reports is a controversial issue, and it has generated an important debate among academics regarding company disclosure strategies. Environmental matters are especially relevant given their impact on sustainable development. The present study has two objectives. The first is to dete...

In the era of Big Data, vast amounts of data are being collected and curated in the form of arrays across the social, physical, engineering, biological, and ecological sciences. Big Data analysis relies on a variety of matrix decomposition methods which seek to exploit features exhibited by the high-dimensional data. With the massive growth of inf...

En este trabajo se analizan los factores que determinan el nivel de productividad de un país, entendiéndose que los determinantes de la productividad por sí mismos son variados y complejos. Los resultados obtenidos facilitan la descripción del entorno económico de cada nación y con ello su capacidad para conquistar niveles óptimos de prosperidad y...