Confidence Intervals and p-values for Delivery to the End User

Fuzzy Confidence Intervals and P -values

The optimal hypothesis tests for the binomial distribution and some other discrete distributions are uniformly most powerful (UMP) one-tailed and UMP unbiased (UMPU) two-tailed randomized tests. Conventional confidence intervals are not dual to randomized tests and perform badly on discrete data at small and moderate sample sizes. We introduce a new confidence interval notion, called fuzzy conf...

What are confidence intervals and p - values ?

A practical guide for understanding confidence intervals and P values.

The 95 percent confidence interval about the mean demarcates the range of values in which the mean would fall if many samples from the universal parent population were taken. In other words, if the same observation, experiment, or trial were done over and over with a different sample of subjects, but with the same characteristics as the original sample, 95 percent of the means from those repeat...

Comment: Fuzzy and Randomized Confidence Intervals and P -Values

Professor Geyer and Professor Meeden have given us an intriguing article with much material for thought and exploration, and they deserve our congratulations. Although the idea of randomized procedures has long existed, this paper has revitalized the discussion on randomized confidence intervals and randomized P -values. Interval estimation of a binomial proportion is a very basic but very impo...

Comment: Fuzzy and Randomized Confidence Intervals and P -Values

We thank Professor Geyer and Professor Meeden for their thought-provoking article. We hope to also be thought-provoking in response, for we pretty much disagree with their position. The fuzzy procedures proposed by the authors result from examining the test function, φ(x,α, θ) in three different ways, as a function of each of the three variables. This is an interesting exercise, which has not b...