Equilibrium moisture of kale seed (Brassica oleracea var. acephala): an alternative method for choice of the best model

Abstract

As majority of the sorption equilibrium equations are nonlinear, care should be taken in estimating their parameters, because in some situations, the confidence interval of the least-squares (LS) estimators may not be appropriate. In these cases, some procedures are available in the literature to validate the statistical properties of the LS estimators of nonlinear models. In this work, the nonlinear measures are used to discriminate, between six equations that represent the sorption equilibrium isotherms of kale seeds (Brassica oleracea L. var. acephala D.C.). Results show that the Halsey modified equation is the best one to describe the experimental data.

The Use of Nonlinearity Measures in the Estimation of Kinetic Parameters of Sugarcane Bagasse Pyrolysis

“…Box [10] presented a useful formula for estimating the bias in the LS estimators; Bates and Watts [11] developed new measures of nonlinearity based on the geometric concept of curvature. Such procedures have been used in other studies to choose the best model [12][13][14].…”