An Applied Statistician's Creed

Marks R. Nester

Journal of the Royal Statistical Society Series C, 1996, vol. 45, issue 4, 401-410

Abstract: Hypothesis testing, as performed in the applied sciences, is criticized. Then assumptions that the author believes should be axiomatic in all statistical analyses are listed. These assumptions render many hypothesis tests superfluous. The author argues that the image of statisticians will not improve until the nexus between hypothesis testing and statistics is broken.

Date: 1996
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