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COVID-19 data analysis using HJ-Biplot method: A study case
ArticleAbstract: COVID-19 is a new viral disease declared as a pandemic by the World Health Organization in 2020. ThiPalabras claves:CLÚSTER, covid-19, Health condition, HJ-biplot, OrdinationAutores:Franklin Tenesaca-Chillogallo, Isidro Rafael AmaroFuentes:scopusAn Exploratory Analysis of COVID-19 in Latin America Using Functional Principal Component Analysis
Conference ObjectAbstract: Even though there already exists a wide variety of epidemiological models, it’s worthwhile to applyPalabras claves:covid-19, functional data analysis, Functional principal component analysis, Latin AmericaAutores:Diana Chaglla, Isidro Rafael Amaro, Saba Rafael InfanteFuentes:scopusAn Exploratory Analysis of COVID-19 in South America: Relationship Between Public Health Damages and Economic Impact in the Region
Conference ObjectAbstract: In the context of the COVID-19 pandemic, in the present work, we will use two main data visualizatioPalabras claves:Biplot first section, Clustering, covid-19, Multivariate statistical analysis, PCa, SARS-COV-2Autores:Génesis Carrillo, Isidro Rafael Amaro, Santiago PozoFuentes:scopusDimensionality Reduction Using PCA and CUR Algorithm for Data on COVID-19 Tests
Conference ObjectAbstract: In this paper we present the results of two well known analyses, Principal Component Analysis and CUPalabras claves:covid-19, CUR algorithm, principal components analysisAutores:Franklin José Camacho, Isidro Rafael Amaro, Marco Enríquez, Samantha NaranjoFuentes:googlescopusEstimation of the State Space Models: An Application in Macroeconomic Series of Ecuador
Conference ObjectAbstract: This paper develops a framework for the analysis of state-space models combined with Kalman and smooPalabras claves:ARIMA model, Dynamic system, Gross domestic product, Kalman filter, State space modelAutores:Henry Bautista Vega, Isidro Rafael Amaro, Saba Rafael InfanteFuentes:scopusHealth Impact Analysis of COVID-19 in Ecuadorian Provinces: A Statistical Approach
Conference ObjectAbstract: In this work, we analyze the health impact of COVID-19, focusing on the number of deaths per millionPalabras claves:Canonical Biplot, classification, CLÚSTER ANALYSIS, Coloring, covid-19, Ecuadorian provincesAutores:Darwin Tallana-Chimarro, Isidro Rafael Amaro, M. C. SabandoFuentes:scopusIncidence of avian malaria in hummingbirds in humid premontane forests of Pichincha Province, Ecuador: A pilot study
ArticleAbstract: Background and Aim: Avian malaria is a tropical disease caused by protozoans of the genera PlasmodiuPalabras claves:avian malaria, Humid forest, hummingbirds, PICHINCHA, plasmodiumAutores:Claudia S. Abad, Isidro Rafael Amaro, Lilian M. Spencer, Lilian Maritza Spencer Valero, Tellkamp M.P.Fuentes:googlescopusIdentifying Similar Groups of Countries According to the Impact of Corona Virus (COVID-19) by a Two-Layer Clustering Method
Conference ObjectAbstract: This paper presents a new clustering algorithm to identify groups of countries. First, a layer of sePalabras claves:Clustering, covid-19, K-Means, self-organizing map, Two-layer clusteringAutores:Carlos Muñoz-Moncayo, Isidro Rafael Amaro, Israel Pineda, Juan RiofríoFuentes:scopus