Examinando por Autor "Sandoval Rodríguez, Wilson"
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- ÍtemÁlgebra lineal. Unidad 1. Matrices y sistemas de ecuacionesSandoval Rodríguez, Wilson; Camargo Luque, Hernan David; López Ponce, Carolina, (Adecuación pedagógica); Wang Lin, Danny, (Diseño gráfico); Quitian Suancha, Jenny Alejandra, (Diseño y programación)
- ÍtemAnálisis de series temporales de precipitación (1990- 2021) en el municipio de Quibdó, departamento Chocó. Usando modelado SARIMA(Fundación Universitaria Los Libertadores. Sede Bogotá., ) González Sanclemente, Janier Emir; Sandoval Rodríguez, WilsonAim. Analyze time series of precipitation between 1990 and 2021 in the municipality of Quibdó, located in the department of Chocó using modeling SARIMA that allows to make a forecast on the precipitations in the municipality. Materials and methods. For the purposes of this study, the precipitation data, from the meteorological station of the Institute of Hydrology, Meteorology and Environmental Studies (IDEAM) located at the El Caraño airport of Quibdó, from January 1990 to December 2021, it was reviewed if the precipitation presents incomplete data. It was verified if the series has any trend. For the which a forecast was made by fitting a Seasonal Autoregressive Moving model Average, SARIMA, this was done using the R program (R Core Team 2014). Results. The results suggest that the precipitation does not present a trend, while its variance is unequivocally increasing, a SARIMA model (0 ,0 ,9 ) x (0 , 1 , 1)12. Conclusion. The time series of Monthly precipitation exhibits a stationary trend relative to time. The annual variance for precipitation has not changed for the studied series and model SARIMA obtained is appropriate for the series studied and a prognosis was made for a period of 12 months
- ÍtemCaracterización de los niveles de contaminación de cuatro zonas de Bogotá por análisis de datos tipo panel(Fundación Universitaria Los Libertadores. Sede Bogotá., ) Moreno Cortés, Jessica Ximena; Sandoval Rodríguez, Wilson; Rodríguez Pinzón, Heivar Yesid
- ÍtemHomicidios en Colombia: un análisis comparativo entre sexos en el tiempo(Fundación Universitaria Los Libertadores. Sede Bogotá., ) Zambrano Ricaurte, Danilo; Sandoval Rodríguez, WilsonHomicides are considered acts of extreme aggression, and in human history one of the sexes has been involved in higher rates of this kind of behaviour. In Colombia, various efforts have been made to analyse in the time the homicides in different cities. However, there is a missing analysis at a country level and analyse of this behaviour differentiated by sex. For this reason, this study aimed to perform SARIMA models with Colombian homicides data between January 2012 to December 2021. Besides, I made comparisons and predictions based on victims’ sex and I calculated the mean absolute difference error of the predicted and actual data.
- ÍtemModelos estadísticos para el pronóstico de los parámetros fisicoquímicos de harina de origen animal de una empresa, usando el software r(Fundación Universitaria Los Libertadores. Sede Bogotá., ) Ruiz Monterroza, Eduin Xavier; Sandoval Rodríguez, WilsonTo predict the bromatological parameters (protein, ash, fat and moisture percentage) from animal source meal. Methodology. Data base from 2017 to 2021 of animal source meal is used as analysis unit, which includes bromatological parameters results for this period. Through time series statistics a model can be adjusted to a specific parameter managing to predict it using the Box and Jenkins methodology. Results. An Arima Model was adjusted for each percentage as follows: protein (1,1,3), ash (1,1,2), fat (0,1,2), and moisture (1,1,9). Conclusion. The MAPE, is an indicator for an easy interpretation of the results, the lower the value, the better the accuracy of the prediction of the models. In the first four (4) months, results were obtained for the models, Protein= 0.69%; Ash= 1.37%; Fat= 1.38% and Moisture= 7.39%.
- ÍtemPronóstico de la cantidad de trámites catastrales de terreno que se reciben en el IGAC: caso de estudio territorial Córdoba(Fundación Universitaria Los Libertadores. Sede Bogotá., ) Sanabria Pacheco, John Freddy; Sandoval Rodríguez, WilsonThe current procedure to carry out the so-called land procedures in the IGAC territories throughout the country, fails to meet the needs of the different users to have updated information in a timely manner, since a visit to the property subject to the procedure is necessary. expensive resources as suitable professionals in cadastral issues, travel expenses, transportation and everything related to travel to the different municipalities of the country. The foregoing causes poor service and increasingly large backlogs that cause discomfort among citizens who must wait a long time to see their request resolved. Having a predictive model of the number of land procedures that are received in the entity, allows optimizing the cadastral conservation process in terms of necessary resources and incidentally directly benefits citizens with fast and reliable information since currently the Waiting times in the resolution of a request or procedure are very long. The foregoing will change the current perception of IGAC and, in general, of public institutions. The main objective of this study is to make a forecast of the number of land procedures received in the IGAC Córdoba territory, which will allow the optimization of the necessary resources such as personnel, budget, and transportation expenses to meet future demand. The type of study was retrospective descriptive, in which two types of univariate forecasts were addressed, which are the Box-Jenkins and Holt-Winters methodology, which were compared in terms of predictive capacity based on RMSE and MAPE forecast errors. . It was possible to forecast the demand for land cadastral procedures received for the first semester of 2022 with the two methodologies. The best methodology that forecasts the land cadastral procedures time series was the Holt-Winters method, which obtained the smallest RMSE and MAPE forecast errors compared to the Box-Jenkins methodology.
- Ítem¿Son el desempleo y el promedio del ingreso per cápita en Colombia concluyentes en el índice de pobreza y desigualdad? Análisis de datos tipo panel(Fundación Universitaria Los Libertadores. Sede Bogotá., ) Grisales Muñoz, Ana María; Sandoval Rodríguez, WilsonUnemployment in Colombia is considered one of the most influential variables in poverty and inequality in the country, however, with the results of this analysis it is shown that said variable is not statistically significant for the incidence of monetary poverty, nor for the incidence of extreme monetary poverty and much less for the Gini coefficient. What is achieved with the average per capita income per unit of expenditure. This statement is supported by three panel-type data models that are made from estimates with fixed effects, evidencing the behavior of the aforementioned variables and highlighting the regions and years most affected.