A New Statistical Method for Ranking of Light Sources based on Subjective Points of View

Abstract

A new method of ranking different light stimuli based on subjective points of view is presented. The objects are pairwise compared and ranked on the basis of the judgments of the observers. More than two options for judgment are allowed. Observers' perceptions are considered as random variables. The differences between the sensations are supposed to be independent, identically distributed random variables with Gauss distribution and equal standard deviations. On the basis of the judgments of the observers the expectations of the random variables are estimated by maximum likelihood method and the maximizations are carried out numerically. Computations were performed by the statistical program package R. The rank of the expectations is considered to be the rank of the observers' perception under the test light stimuli. Equalities of the expectations are tested by likelihood ratio tests. The results are compared to the results derived by the AHP method. Finally, some results in connection with the investigated questions are presented.

Általánosított Thurstone-módszer alkalmazásokkal

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