Nonprobabilistic statistical inference: A set-theoretic approach


Authors: 
Rouanet, H., Bernard, J. M., & Lecoutre, B.
Category: 
Volume: 
40(1)
Pages: 
60-65
Year: 
1986
Publisher: 
The American Statistician
Abstract: 

The familiar sampling procedures of statistical inference can be recast within a purely set-theoretic (ST) framework, without resorting to probabilistic prerequisites. This article is an introduction to the ST approach of statistical inference, with emphasis on its attractiveness for teaching. The main points treated are unsophisticated ST significance testing and ST inference for a relative frequency (proportion).