Hung Jury: The Verdict on Uncertainty

Autor: William M. Briggs
Rok vydání: 2020
Předmět:
Zdroj: Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas ISBN: 9783030456184
DOI: 10.1007/978-3-030-45619-1_5
Popis: Classical probability and the statistical methods built around it, like hypothesis testing, have been shown to have many glaring weaknesses, as the work of Hung Nguyen has shown with clarity and vigor. It is time for a major renovation in probability. The need for new methods is pressing. Older ways of thinking about probability and decision are inadequate, as two examples will show, one from jury trials, and one about hypothesis testing and the so-called problem of old evidence. In particular, hypothesis testing needs to be abandoned forthwith. The Hung jury is in, and the verdict about p-values is Guilty. Time for them to go.
Databáze: OpenAIRE