Author(s)

J.L. Uso, J. Mateu, P. Salvador, Y. Villacampa & P. Sastre

Abstract

A flow equation obtained through multiple linear regression is a static concept, fixed for a time t. However, experience says that the temporal component makes the information obtained from the flow equation change in terms of the coefficient of determination. In this paper we show that a 1-degree variation in such coefficients behaves like a Brownian motion based on a gaussian distribution. Such motion is called here the Samsara effect of the coefficients of determination.We then use a practical real case to show how this

Keywords