On p-confidence intervals for g-expectations

Confidence Intervals for Lower Quantiles Based on Two-Sample Scheme

In this paper, a new two-sampling scheme is proposed to construct appropriate confidence intervals for the lower population quantiles. The confidence intervals are determined in the parametric and nonparametric set up and the optimality problem is discussed in each case. Finally, the proposed procedure is illustrated via a real data set. 

On P values and confidence intervals (why can't we P with more confidence?)

Normal Distribution, "p" Value and Confidence Intervals.

W data is col lected, in order to make sense of it, the data needs to be organised in a manner which shows the various values and the frequencies at which these values have occurred, that is the “pattern that the values form after they are organised” and this is called a distribution. A distribution guides how raw data can be converted into meaningful information and also influences the choice ...

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 ?