Improving Transparency, Falsifiability, and Rigor by Making Hypothesis Tests Machine-Readable
Volume: 4, Issue: 2, Pages: 251524592097094 - 251524592097094
Published: Apr 1, 2021
Abstract
Making scientific information machine-readable greatly facilitates its reuse. Many scientific articles have the goal to test a hypothesis, so making the tests of statistical predictions easier to find and access could be very beneficial. We propose an approach that can be used to make hypothesis tests machine-readable. We believe there are two benefits to specifying a hypothesis test in such a way that a computer can evaluate whether the...
Paper Details
Title
Improving Transparency, Falsifiability, and Rigor by Making Hypothesis Tests Machine-Readable
Published Date
Apr 1, 2021
Volume
4
Issue
2
Pages
251524592097094 - 251524592097094
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