Linear an no-linear regression models in the fitting of curves for relative humidity data
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Abstract
This research aimed to obtain a curve that best fits a data set; in this case they are relative humidity measurements from a weather station. Linear and non-linear regression methods were analyzed, posed as least squares problems. The sinusoidal-type fit curve is the one that offers the best fit, although situations in which a cubic-type function can be a good solution are also analyzed. In addition, the fit of these data was analyzed using the logistic function, which gives very good results for certain periods of the day.
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