Hypothesis Testing and P-Values foundational
How hypothesis tests turn noisy evidence into a structured decision, and how to read p-values without treating them as proof.
How hypothesis tests turn noisy evidence into a structured decision, and how to read p-values without treating them as proof.
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References
An investigation of the false discovery rate and the misinterpretation of p-values
David Colquhoun
(2014)
— Royal Society Open Science
...and the Cross-Section of Expected Returns
Campbell R. Harvey, Yan Liu, Heqing Zhu
(2016)
— Review of Financial Studies