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Aug 3, 2023 at 21:42 comment added Glen_b Added a section in note [1] to hopefully explain it further. In short, we're trying to minimize the variance of an (unbiased) linear combination of order statistics, and at given $n$, that variance is quadratic in $q$ (but the coefficients are themselves functionals of the standard normal density, and those terms involve $n$). This is all doable, and would be fairly straightforward to code, it just takes time to set it up properly. The asymptotic case is somewhat easier to deal with but still takes some calculation. I hope to come back and add some more. If time permits I'll show a calculation
Aug 3, 2023 at 21:39 history edited Glen_b CC BY-SA 4.0
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Aug 3, 2023 at 6:04 comment added user225256 Will you elaborate on the comment that “asymptotically the median and midhinge will combine linearly (due to their joint normality)”? How do we rule out something like $(1-q)M+qH$ with $q=(Q_3-2Q_2+Q_1)^2/(Q_3-Q_1)^2$? That function would emphasize the median more when the median and midhinge are close, and emphasize the midhinge more when the median and midhinge are far apart.
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Jul 25, 2023 at 8:14 comment added Glen_b Note to self; add a brief mention of ncbi.nlm.nih.gov/pmc/articles/PMC9621295
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Jul 25, 2023 at 6:23 history answered Glen_b CC BY-SA 4.0