File:Gamma series 6.png

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English: Approximations to the median of a gamma distribution, using interpolators between the low-k and high-k coeffcients of 1 and k to multiply 2^{-1/k} by. With this approach the absolute and relative errors both go to zero at low and high k, and with the particular interpolators – logistic sigmoids (dashed) and Gompertz functions (solid) of log k – the absolute (blue) and relative (magenta) errors are everywhere less than 0.00228 for the logistic sigmoid and 0.00184 for the Gompertz function (which has an even better max absolute error).
Date
Source Plotted in Matlab from my code and my math
Author Dicklyon

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3 May 2020

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Date/TimeThumbnailDimensionsUserComment
current04:54, 4 May 2020Thumbnail for version as of 04:54, 4 May 20202,804 × 1,933 (167 KB)Dicklyonre-optimized logistic sigmoid much better (dashed) and added Gompertz function version (solid). Max errors are now < 0.00228 and 0.00184, respectively.
19:38, 3 May 2020Thumbnail for version as of 19:38, 3 May 20202,804 × 1,933 (147 KB)Dicklyonoops, that wasn't different; here it the improved one.
19:35, 3 May 2020Thumbnail for version as of 19:35, 3 May 20202,804 × 1,933 (147 KB)DicklyonBetter params, lower max error.
17:21, 3 May 2020Thumbnail for version as of 17:21, 3 May 20202,804 × 1,933 (147 KB)DicklyonUploading a self-made file using File Upload Wizard
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