Acceso abierto·Documento·2020·Inglés

A Neutrosophic Statistic Method to PredictTax Time Series in Ecuador

Lilia Esther Valencia Cruzaty; Mariela Viviana Reyes Tomalá; Carlos Manuel Castillo Gallo

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Resumen

Abstract. Prediction of tax collection behavior is an essential tool for social planning by the State of any country. The tax is the State’smechanism for budget collection, which isnecessary to accomplish public services that benefit the whole society. This paper firstly aimsto propose a method of predicting time series where values can be givenin form of intervals rather than numbers. This form permitsto obtain more truthful results, but with a greater indeterminacy. Because statistical prediction methods are used, where data in form of intervalsareincluded, we can classify this approachas a kindof NeutrosophicStatistics technique. Basically, themethod converts a set of predictednumerical values into intervals. The second objective is to apply the method to predictthemonthly income from taxes in Ecuador for the year 2019.

Cómo citar

Lilia Esther Valencia Cruzaty, & Mariela Viviana Reyes Tomalá, & Carlos Manuel Castillo Gallo (2020). A Neutrosophic Statistic Method to PredictTax Time Series in Ecuador. https://doi.org/10.5281/zenodo.3765989