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A new algorithm for computing disjoint orthogonal components in the parallel factor analysis model with simulations and applications to real-world data
ArticleAbstract: In this paper, we extend the use of disjoint orthogonal components to three-way table analysis withPalabras claves:Degeneracy, Disjoint components, heuristic algorithms, Parafac model, PCa, R Software, Three-way tablesAutores:Carlos Martin-Barreiro, John A. Ramirez-Figueroa, Leiva V., Martin-Casado A., Purificación Galindo-Villardón, Xavier CabezasFuentes:googlescopusA semi-Lagrangian relaxation heuristic algorithm for the simple plant location problem with order
ArticleAbstract: The Simple Plant Location Problem with Order (SPLPO) is a variant of the Simple Plant Location ProblPalabras claves:Lagrangian relaxation, Preferences, semi-Lagrangian relaxation, Simple plant location problemAutores:García S., Xavier CabezasFuentes:googlescopusA two-stage location problem with order solved using a lagrangian algorithm and stochastic programming for a potential use in covid-19 vaccination based on sensor-related data
ArticleAbstract: Healthcare service centers must be sited in strategic locations that meet the immediate needs of patPalabras claves:heuristic algorithm, Lagrangian and semi-Lagrangian relaxations, Mathematical pro-gramming, SARS-COV2, Sensing and data extraction, Simple plant and uncapacitated facility location problems, XPRESS softwareAutores:Carlos Martin-Barreiro, Erwin J. Delgado, García S., Leiva V., Xavier CabezasFuentes:googlescopusDisjoint and functional principal component analysis for infected cases and deaths due to covid-19 in south american countries with sensor-related data
ArticleAbstract: In this paper, we group South American countries based on the number of infected cases and deaths duPalabras claves:data science, Disjoint and functional components, Infectious diseases, k-means clustering, Multivariate statistical methods, R Software, SARS-COV2, Sensing and data extractionAutores:Carlos Martin-Barreiro, John A. Ramirez-Figueroa, Leiva V., Purificación Galindo-Villardón, Xavier CabezasFuentes:googlescopusThe r-hypergeometric distribution: Characterization, mathematical methods, simulations, and applications in sciences and engineering
ArticleAbstract: In this article, we introduce a novel univariate discrete distribution called the r-hypergeometric mPalabras claves:applied sciences, binomial, f-binomial and hypergeometric distributions, no-order sampling, python and R computer languages, random numbers, sampling with replacementAutores:Carlos Martin-Barreiro, Díaz-Rodríguez M., Leiva V., Mahdi E., Xavier CabezasFuentes:googlescopusWeibull Regression and Machine Learning Survival Models: Methodology, Comparison, and Application to Biomedical Data Related to Cardiac Surgery
ArticleAbstract: In this article, we propose a comparative study between two models that can be used by researchers fPalabras claves:binary trees, Harrell index, model diagnostics, non-normal regression, random forest, statistical software, survival statistical analysis, variable importance, Weibull modelAutores:Carlos Martin-Barreiro, Cavalcante T., Leiva V., Ospina R., Xavier CabezasFuentes:googlescopusModern Multivariate Statistical Methods for Evaluating the Impact of WhatsApp on Academic Performance: Methodology and Case Study in India
ArticleAbstract: Despite the increasing amount of research on social media, there are few studies on the use of WhatsPalabras claves:Disjoint principal components, education data, grade point average, information and communication technologies, Multivariate statistics, operationalization of variables, Social mediaAutores:Carlos Martin-Barreiro, Leiva V., Sharma P., Singh A.K., Xavier CabezasFuentes:googlescopus