Resumen
Granulometric analyses of solids are satisfactorily represented by the following two parameters models: Gates-Gaudin-Schumann (GGS), Rosin-Rammler-Bennet (RRB) and Log-Normal (LN). GGS and RRB models may be linearized to get a correlation coefficient to qualify them. Nevertheless, for LN model the linear fit is done by a particle diameter graph in logarithm scale versus the cumulative mass fraction in a probability scale. It?s not possible to compare the three models on the same basis. Equations developed by Lawless (1978) were developed to obtain a linear correlation coefficient for LN model. Thus, GGS, RRB and LN models may be available by simple comparison of the linear regression coefficients. Adjustment turns up to the faster and more precise.