Talk:Continuous probability distribution

Untitled

I moved this from the main page:

A random variable is continuous if the set of all possible values it can assume forms an interval, either finite or infinite.

The probability that a continuous random variable will take a value in any particular sub-interval is given by the probability density function.

Not every variable whose range is an interval (surely of positive length?) has a probability density function. Are continuous random variables those whose cdf if continuous? AxelBoldt

What more?

Something should be added relating to multivariate distributions, a little more about mixed continous-discrete distributions (example of rainfall perhaps), and about general decomposition in continuous, discrete etc components. Melcombe (talk) 17:01, 20 May 2008 (UTC)[reply]

Needs expert attention

Bizarre/confused mix of random variables and distributions that sometimes conflate the two. Also, everything can be improved.

Assessment comment

The comment(s) below were originally left at Talk:Continuous probability distribution/Comments, and are posted here for posterity. Following several discussions in past years, these subpages are now deprecated. The comments may be irrelevant or outdated; if so, please feel free to remove this section.

If not merged, this article needs more structure. Geometry guy 14:21, 21 May 2007 (UTC)[reply]

Not much has been changed since then. But I don't think this article is high priority so downgraded to "mid" — the main "probability distribution" article is much more important, and i think this article should have the same priority as discrete probability distribution which is rated "mid" importance. Qwfp (talk) 12:11, 22 February 2008 (UTC)[reply]

Last edited at 12:11, 22 February 2008 (UTC). Substituted at 19:53, 1 May 2016 (UTC)