Análisis y ajustes, con modelos de regresión B-Splines utilizando el Software R, en las variables climatológicas: temperatura, humedad, radiación y velocidad del viento, de la Estación Meteorológica Solar del Centro de Energía Alternativas, Facultad de Ciencias, Escuela de Física y Matemática

Abstract

Analysis and adjustment, with regression models B-Splines using the free software R was held in climatic variables such as temperature, humidity, radiation and wind speed, with data obtained from the Meteorological Station Solar, Alternative Energy Center; of the Faculty of Science, School of Physics and Mathematics; in order to identify clearly the limited adjustment, the difference between the length or width of the interval adjustment, relative to a polynomial regression model generally used.

Analysis and adjustment B- Spline regression models using the R software was made with mean values ​​obtained for each of the climate variables such as temperature, Humidity, radiation and wind speed; These averages data for each time of day each month, making a comparison with polynomial regression models seventh grade.

Given this analysis and adjustment B- Spline regression models using the R software, it was reached identify the B- Spline regression models; They present a better smoothing in behavior of climatological data, unlike continue using models Regression generally used.

Apply the statistical technique of regression models B - Spline using the R software; It is useful for get better smoothing and adjusting our data; it is recommended to take into account the Using regression models B - Spline using R software, to improve fit or smoothing any data set and thus combine the application of regression models commonly used regression models B - Spline.