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Equilibrium moisture of kale seed ( Brassica oleracea var. acephala ): an alternative method for choice of the best model
Author(s) -
Barrozo Marcos A. S.,
Bego Natália C.,
Oliveira Daniel T.
Publication year - 2008
Publication title -
international journal of food science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.831
H-Index - 96
eISSN - 1365-2621
pISSN - 0950-5423
DOI - 10.1111/j.1365-2621.2008.01728.x
Subject(s) - brassica oleracea , estimator , nonlinear system , confidence interval , mathematics , interval (graph theory) , nonlinear regression , work (physics) , sorption , statistics , brassica , horticulture , thermodynamics , chemistry , physics , biology , regression analysis , combinatorics , organic chemistry , adsorption , quantum mechanics
Summary 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.