Alexander Ly

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Less Invasions, More Equations

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Last post: Jan 8, 2026
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Site title: Alexander Ly – Less Invasions, More Equations
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Interior colours
Jan 8, 2026 · original
Colour communication NCS Colour system Explanation video . Example: Ceiling 0907-G90Y [Colour: Green 10% with 90% yellow, expression: 9% black, 7% colour, thus, 84% white], Base wall 1010-Y10R, Accent wall 2020-Y20R, Skirting boards 3020-Y20R. Note that the ceiling is in some sense a colder expression of the base wall, whereas the accent wall is a warmer version (more red and more chromatic). The skirting boards are two shades darker than the base wall and (a wee bit more red). Shades, tones and tints Shade (mix with black) Tones (mix with grey) Tints (mix with white) Preset NCS colour families Example: Gold ochre + green umber, but we did stray away from it a little bit. Digitalisation of colour NCS colour guide to hex, rgb etc QConv Conversion : To convert from NCS to, say, Sikkens. Encolorpedia : From hex to paint colours. Printing the colours is fun, but not really representative of
Appendix of the Jeffreys’s paper
Jan 3, 2015 · original
The following calculations are based on Jeffreys’s (1961, p. 269) Theory of Probability and elaborates why he choose to use a symmetric proper weighting function on the test relevant parameter the population effect size . First, to relate the observed -value to the population effect size within , Jeffreys rewrote the likelihood of in terms of the effect size and . To calculate the weighted likelihood of he then choose to set . By assigning the same weighting function to as was done for , we obtain: (1) The remaining task is to specify , the weighting function for the test-relevant parameter. Jeffreys proposed his weighting function based on desiderata obtained from hypothetical, extreme data. Predictive matching: Symmetric The first “extreme” case Jeffreys discusses is when ; this automatically yields regardless of the value of . Jeffreys noted that a single datum cannot provide support
Hello world!
Sep 5, 2014 · original
Welcome to WordPress. This is your first post. Edit or delete it, then start blogging!

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