Statistical methods for analyzing color difference distributions | Zendy

Nadal Maria E. | Zendy; Cameron Miller C. | Zendy; Fairman Hugh S. | Zendy

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Statistical methods for analyzing color difference distributions

Author(s) -

Nadal Maria E.,

Cameron Miller C.,

Fairman Hugh S.

Publication year - 2011

Publication title -

color research and application

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.393

H-Index - 62

eISSN - 1520-6378

pISSN - 0361-2317

DOI - 10.1002/col.20622

Subject(s) - color difference , reflectivity , limit (mathematics) , spectral power distribution , mathematics , statistics , statistical analysis , significant difference , computer science , artificial intelligence , pattern recognition (psychology) , optics , mathematical analysis , physics , enhanced data rates for gsm evolution

Multivalued measurands, such as spectral reflectance and tristimulus values, are usually analyzed by reducing the data to a single‐valued parameter, such as color difference. The variations in sets of color differences are nonnormal distributed. This article compares five statistical methods to determine the 95% tolerance limit on nine data sets of color differences. Published 2010 Wiley Periodicals, Inc. Col Res Appl, 36, 160–168, 2011;

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