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Notes on the application of the standardized residual sum of squares index for the assessment of intra- and inter-observer variability in color-difference experiments.

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TLDR
It is demonstrated that setting the F parameters of the standardized residual sum of squares index to 1 results in a loss of essential properties of the index, and is therefore strongly discouraged.
Abstract
The standardized residual sum of squares index was proposed to examine the significant merit of a given color-difference formula over another with respect to a given set of visual color-difference data [J. Opt. Soc. Am. A 24, 1823-1829, 2007]. This index can also be employed to determine intra- and inter-observer variability, although the full complexity of this variability cannot be described by just one number. Appropriate utilization of the standardized residual sum of squares index for the assessment of observer variability is described with a view to encourage its use in future color-difference research. The main goal of this paper is to demonstrate that setting the F parameters of the standardized residual sum of squares index to 1 results in a loss of essential properties of the index (for example, symmetry), and is therefore strongly discouraged.

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Human perceptions of colour rendition vary with average fidelity, average gamut, and gamut shape

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Study of chromatic adaptation using memory color matches, Part I: neutral illuminants

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Influence of Diatomite and Mineral Powder on Thermal Oxidative Ageing Properties of Asphalt

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Impact of Illumination Correlated Color Temperature, Background Lightness, and Painting Color Content on Color Appearance and Appreciation of Paintings

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Power functions improving the performance of color-difference formulas.

TL;DR: Improved color-difference formulas modified by power functions provide results in better agreement with visually perceived color differences, particularly for all data sets with color differences close to the threshold.
References
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Journal ArticleDOI

Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis

TL;DR: The fundamental hypothesis is that dissimilarities and distances are monotonically related, and a quantitative, intuitively satisfying measure of goodness of fit is defined to this hypothesis.
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Measurement of the relationship between perceived and computed color differences

TL;DR: Using simulated data sets, some mathematical properties of different statistical measurements that have been employed in previous literature to test the performance of different color-difference formulas are analyzed and a new index named standardized residual sum of squares (STRESS), employed in multidimensional scaling techniques, is recommended.
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The User's Guide to Multidimensional Scaling

J. Edward Jackson
- 01 Feb 1985 - 
TL;DR: The User's Guide to Multidimensional Scaling as mentioned in this paper is a user's guide to multidimensional scaling, which is based on the idea of scaling a set of dimensions.
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Investigation of parametric effects using small colour differences

TL;DR: The results showed that three advanced colour-difference formulae performed much better than CIELAB and there was a good agreement between the current results and those from earlier studies.
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