It's easy enough to draw a figure illustrating the distances used in the optimization target for an ordinary linear regression. Getting the corresponding illustration right for orthogonal regression took me enough extra work that I wanted to share the resolution.
There are arithmetic errors in the paper that created Student's T-test.
Following up on the previous article, we take a closer look at the derivation of the conservative finite sample confidence interval.
Empirical exploration of the sizes of two Bernoulli confidence intervals.
Repeating robustness tests from John D Cook's blog, but with R code instead of Python.
A description of the Bootstrap, and an example from "All of Statistics"
A look at data from Mythbusters 12x5.
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Text and figures are licensed under Creative Commons Attribution CC BY 4.0. Source code is available at https://github.com/michiexile/rbind-io, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".