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You are here		aurimas.eu Estimating long-term detection, win, and error rates in A/B testing - @aurimas
\|	\|	statsandr.com How to perform a one-sample t-test by hand and in R: test on one mean - Stats and R	20.6 parsecs away Travel
\|	\|	Learn how to perform the one-sample t-test by hand and in R in order to compare a sample to a hypothesized value, with known or unknown population variance	20.6 parsecs away Travel
\|	\|	www.geteppo.com Comparing Frequentist vs. Bayesian vs. Sequential Approaches to A/B Testing	13.3 parsecs away Travel
\|	\|	A holistic comparison of statistical methods for online experimentation	13.3 parsecs away Travel
\|	\|	fharrell.com Equivalence of Wilcoxon Statistic and Proportional Odds Model - Statistical Thinking	12.7 parsecs away Travel
\|	\|	In this article I provide much more extensive simulations showing the near perfect agreement between the odds ratio (OR) from a proportional odds (PO) model, and the Wilcoxon two-sample test statistic. The agreement is studied by degree of violation of the PO assumption and by the sample size. A refinement in the conversion formula between the OR and the Wilcoxon statistic scaled to 0-1 (corcordance probability) is provided.	12.7 parsecs away Travel
\|	\|	summerseminarphilstat.com Quote from Day #1 of the Summer Seminar - Summer Seminar PhilStat	91.4 parsecs away Travel
\|		The Savage Quote I mentioned today regarding the relevance of the stopping rule. The Stopping Rule Principle (SRP) holds that it's irrelevant to the import of the data.The quote is on SIST p. 48. "I learned the stopping rule principle from Professor Barnard, in conversation in the summer of 1952. Frankly, I then thought it...	91.4 parsecs away Travel