Limits of agreement may have large confidence intervals

Confidence Intervals On Subsets May Be Misleading

Limits and Confidence Intervals in the Presence of Nuisance Parameters

We study the frequentist properties of confidence intervals computed by the method known to statisticians as the profile likelihood. It is seen that the coverage of these intervals is surprisingly good over a wide range of possible parameter values for important classes of problems, in particular whenever there are additional nuisance parameters with statistical or systematic errors. Programs a...

Probabilistic Intervals of Confidence

Abstract: High accuracy should not be the only goal of classification: information concerning probable alternatives diagnoses, probability of these diagnoses, evaluation of confidence in classification, are also important. Neural models are used just to obtain the winner class but do not provide any justification for their recommendations – they work as black boxes. A method which determine con...

Credibility of Confidence Intervals

Classical confidence intervals are often misunderstood by particle physicists and the general public alike. The confusion arises from the two different definitions of probability in common use. As a result, there is general dissatisfaction when confidence intervals are empty or they exclude parameter values for which the experiment is insensitive. In order to clarify these issues, the relation ...

Varieties of Confidence Intervals

Error bars are useful to understand data and their interrelations. Here, it is shown that confidence intervals of the mean (CI M s) can be adjusted based on whether the objective is to highlight differences between measures or not and based on the experimental design (within- or between-group designs). Confidence intervals (CIs) can also be adjusted to take into account the sampling mechanisms ...