I came across this term, probability of correct selection (pcs) while going through this paper: Discriminating Among the Log-Normal, Weibull and Generalized Exponential Distributions.
I've googled a lot but I don't seem to find an authoritative explanation. Could someone here please explain to me what the term means, especially in the context of choosing the best distribution (that fits a univariate lifetime dataset) among a set of pdfs(probability distributions)?
In this link second paper, it is kind of apparent that (but not mentioned explicitly) pcs is 'selecting the best of k populations'. If it is so, can someone explain it to me in simpler terms?
The term 'probability of correct selection' literally means 'the probability of choosing the correct item'. Is that it?
I've tried to make this question as specific as possible. Please go through it completely before collapsing it as a subjective question(it is not).
If anyone can't access those pdf files, tell me.
The first link is a paper on a method for choosing a distribution (among log-normal, weibull and generalized exponential distributions) that fits a given sample data. The author mentions 'probability of correct selection'(pcs). I didn't understand exactly what that term meant so I asked the question here. What exactly does that term mean? 'Probability of correct selection' That's the crux of this question.
The second paper is one of the papers I found when googling the term. It's the only paper that's free and the rest, I have to buy (I can't afford them). The paper doesn't explain what the term is, but goes on to describe a method to estimate it (pcs).