Abstract
he paper presents linear and nonlinear mathematical models that estimate the evolution of processes or phenomena based on parameters that define processes and phenomena in order to achieve calculations and approximations of experimental data. Featuring a series of climatic factors data, it is presented a 126-year analysis of the results, approaching the method of least squares.
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