title: Bayesian approach to color-difference models based on threshold and constant-stimuli methods.
abstract: An alternative approach based on statistical Bayesian inference is presented to deal with the development of color-difference models and the precision of parameter estimation. The approach was applied to simulated data and real data, the latter published by selected authors involved with the development of color-difference formulae using traditional methods. Our results show very good agreement between the Bayesian and classical approaches. Among other benefits, our proposed methodology allows one to determine the marginal posterior distribution of each random individual parameter of the color-difference model. In this manner, it is possible to analyze the effect of individual parameters on the statistical significance calculation of a color-difference equation.
authors.forename: Fernando
authors.initials: F
authors.lastname: Brusola
authors.forename: Ignacio
authors.initials: I
authors.lastname: Tortajada
authors.forename: Ismael
authors.initials: I
authors.lastname: Lengua
authors.forename: Begoña
authors.initials: B
authors.lastname: Jordá
authors.forename: Guillermo
authors.initials: G
authors.lastname: Peris