An uncertainty interval refers to confidence interval, the difference between the two being only philosophical rather than mathematical. Confidence interval is an interval estimate of the parameter. Thus a confidence interval is meant to estimate the degree of uncertainty in a sample statistic. The wider confidence interval means greater uncertainty level and narrower one indicate greater certainty level. Therefor philosophically, uncertainty interval is a more appropriate term for the confidence interval. For a lay person, a 95% confidence interval can be thought as the lower and upper limit for a parameter estimate which will contain the true estimates for 95 out of hundred random samples.
An uncertainty interval refers to confidence interval, the difference between the two being only philosophical rather than mathematical. Confidence interval is an interval estimate of the parameter. Thus a confidence interval is meant to estimate the degree of uncertainty in a sample statistic. The wider confidence interval means greater uncertainty level and narrower one indicate greater certainty level. Therefor philosophically, uncertainty interval is a more appropriate term for the confidence interval. For a lay person, a 95% confidence interval can be thought as the lower and upper limit for a parameter estimate which will contain the true estimates for 95 out of hundred random samples.
what i understood is that the standard uncertainty is converted in to an uncertainty interval that is similar to confidence interval using a coverage factor. The term is new to me too. Hope this can give you a start.
I believe that both confidence and uncertainity interval should be included in results of published literature. Uncertainity interval is not phylosophical but more meaningful estimate of true results alongside with confidence interval.
Jasminka Nikolajevic-Sarunac are you arguing that it is the best practice to report both? If so it will be very helpful if you can upload a peer reviewed article that uses this best practice.