Suppose you decided (almost surely by some ad hoc rule) that the uncertainty in some thing (call it y) is best quantified by a normal distribution with central parameter θ and spread […]
Frequentists Are Closet Bayesians: Confidence Interval Edition
Actually, all frequentists and Bayesians are logical probabilists, but if I put that in the title, few would believe it. A man might call himself an Anti-Gravitational Theorist, a science which describes […]
Nine Counter-Arguments To Frequentism
It is well to collect cogent proofs of frequentism’s failings so that supporters of that theory can look upon them and find joy. Alan Hájek has done yeoman service in this regard […]
Nonstatisticians Often Screw Up Statistics
Title stolen from article of same name by Leland Teschler in the trade journal Machine Design. Update Statisticians often screw up statistics, too. See below. The article is the result of an […]
Scrap Statistics, Begin Anew
You or I might perhaps be excused if we sometimes toyed with solipsism, especially when we reflect on the utter failure of our writings to produce the smallest effect in the alleged […]
Johnson’s Revised Standards For Statistical Evidence
Thanks to the many readers who sent me Johnson’s paper, which is here (pdf). Those who haven’t will want to read “Everything Wrong With P-values Under One Roof“, the material of which […]
Was The UEFA Champions League Draw Rigged?—Bayesian Analysis by Henk Tijms
Henk Tijms, emeritus professor at the Vrije University in Amsterdam, is author of Understanding Probability (excerpt; Amazon at this writing has it for only $31.29, a steal for textbooks). Football (“soccer”) is […]
Bayes Is More Than Probably Right: An Answer To Senn; Part I
Stephen Senn very kindly answered a post I wrote on p-values (Unsignificant Statistics: Or Die P-Value, Die Die Die) by sending me his “You May Believe You Are a Bayesian But You […]
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