Sometimes, to distinguish a population parameter from an observed estimate, the term "true" is used. For example, sometimes researchers use "true mean" to distinguish the population mu (greek \mu) from the sample mean (x-bar).

In classical test theory, we use "true score" to distinguish between an observed score, that contains error, and the score that we should have gotten if no measurement error was involved.

In order to properly distinguish the two types of "true-ness", is there another adjective I could use for the first case, the population mu (greek \mu)?