For my final Jerzy Neyman item, here’s the post I wrote for his birthday last year: A local acting group is putting on a short theater production based on a screenplay I wrote: “Les Miserables Citations” (“Those Miserable Quotes”) [1]. The “miserable” citations are those everyone loves to cite, from their early joint 1933 paper: We are inclined to think that as […]
I’ll continue to post Neyman-related items this week in honor of his birthday. This isn’t the only paper in which Neyman makes it clear he denies a distinction between a test of statistical hypotheses and significance tests. He and E. Pearson also discredit the myth that the former is only allowed to report pre-data, fixed error probabilities, and are […]
This continues my previous post: “Can’t take the fiducial out of Fisher…” in recognition of Fisher’s birthday, February 17. I supply a few more intriguing articles you may find enlightening to read and/or reread on a Saturday night Move up 20 years to the famous 1955/56 exchange between Fisher and Neyman. Fisher clearly connects Neyman’s adoption of […]
Today is Erich Lehmann’s birthday (20 November 1917 – 12 September 2009). Lehmann was Neyman’s first student at Berkeley (Ph.D 1942), and his framing of Neyman-Pearson (NP) methods has had an enormous influence on the way we typically view them. I got to know Erich in 1997, shortly after publication of EGEK (1996). One day, I received […]
Memory lane: Did you ever consider how some of the colorful exchanges among better-known names in statistical foundations could be the basis for high literary drama in the form of one-act plays (even if appreciated by only 3-7 people in the world)? (Think of the expressionist exchange between Bohr and Heisenberg in Michael Frayn’s play […]
“Tests of Statistical Hypotheses and Their Use in Studies of Natural Phenomena” by Jerzy Neyman ABSTRACT. Contrary to ideas suggested by the title of the conference at which the present paper was presented, the author is not aware of a conceptual difference between a “test of a statistical hypothesis” and a “test of significance” and uses […]
Note on an Article by Sir Ronald Fisher By Jerzy Neyman (1956) Summary (1) FISHER’S allegation that, contrary to some passages in the introduction and on the cover of the book by Wald, this book does not really deal with experimental design is unfounded. In actual fact, the book is permeated with problems of experimentation. […]
“Tests of Statistical Hypotheses and Their Use in Studies of Natural Phenomena” by Jerzy Neyman ABSTRACT. Contrary to ideas suggested by the title of the conference at which the present paper was presented, the author is not aware of a conceptual difference between a “test of a statistical hypothesis” and a “test of significance” and uses […]
A Statistical Model as a Chance Mechanism Aris Spanos Today is the birthday of Jerzy Neyman (April 16, 1894 – August 5, 1981). Neyman was a Polish/American statistician[i] who spent most of his professional career at the University of California, Berkeley. Neyman is best known in statistics for his pioneering contributions in framing the Neyman-Pearson (N-P) […]
Pour comprendre la notion de puissance dans un test statistique, reprenons Statistical power analysis for the behavioral sciences de Jacob Cohen. Comme il le rappelle Fisher (dans The Design of Experiments) ne souhaite pas “prouver” qu’une hypothèse (appelée H_0) est valide, mais il espère, en réalité, rejeter l’hypothèse en question (c’est ce que rappellent d’ailleurs Hubbard et Bayarri en 2003). Autrement dit, supposons que l’on cherche à faire un test…
