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Support Functions: Reframing Conventional Statistical Methods

Aickin, Mikel (2025) Support Functions: Reframing Conventional Statistical Methods. [Preprint]

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Abstract

Conventional statistical inference is awkward, which has the consequence that it is difficult to explain and even difficult to use properly. The problem is not with its fundamental elements (confidence intervals and hypothesis tests), but instead with how they are packaged. Here support functions are offered as an alternative package, which very much improves real-world practice and provides conceptual clarity to the process of scientific inference.


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Item Type: Preprint
Creators:
CreatorsEmailORCID
Aickin, Mikelmikel@mikelaickin.us0000-0001-7885-5453
Keywords: scientific inference, hypothesis tests, confidence intervals
Subjects: Specific Sciences > Probability/Statistics
Depositing User: Dr. Mikel Aickin
Date Deposited: 20 Oct 2025 11:18
Last Modified: 20 Oct 2025 11:18
Item ID: 26977
Subjects: Specific Sciences > Probability/Statistics
Date: 18 October 2025
URI: https://philsci-archive.pitt.edu/id/eprint/26977

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