In statistics, the coverage probability of a technique for calculating a confidence interval is the proportion of the time that the interval contains the true value of interest.[1] For example, suppose our interest is in the mean number of months that people with a particular type of cancer remain in remission following successful treatment with chemotherapy. The confidence interval aims to contain the unknown mean remission duration with a given probability. This is the "confidence level" or "confidence coefficient" of the constructed interval which is effectively the "nominal coverage probability" of the procedure for constructing confidence intervals. The "nominal coverage probability" is often set at 0.95. The coverage probability is the actual probability that the interval contains the true mean remission duration in this example.

https://en.wikipedia.org/wiki/Coverage_probability

@moezali1 @valeman So should we shorthand it "COVPROB" then?

@ngupta23 I have submitted this to Prof. Anton for his suggestion. Will put the response here!

Based on the discussion on 8th Jan 2022, we will change this to "COV_PROB".

@ngupta23 ,I think I will be able to do it.

So for late reply folks, Cov_Prob sounds much better.