Talk:Probability integral transform

	Mathematics portal This article is within the scope of WikiProject Mathematics, a collaborative effort to improve the coverage of mathematics on Wikipedia. If you would like to participate, please visit the project page, where you can join the discussion and see a list of open tasks.MathematicsWikipedia:WikiProject MathematicsTemplate:WikiProject Mathematicsmathematics articles
Low	This article has been rated as Low-priority on the project's priority scale.

Statistics Low‑importance

	This article is within the scope of WikiProject Statistics, a collaborative effort to improve the coverage of statistics on Wikipedia. If you would like to participate, please visit the project page, where you can join the discussion and see a list of open tasks.StatisticsWikipedia:WikiProject StatisticsTemplate:WikiProject StatisticsStatistics articles
Low	This article has been rated as Low-importance on the importance scale.

Assumption?

The intro paragraph says "provided that the assumption is true". What assumption? —Ben FrantzDale (talk) 13:27, 15 April 2009 (UTC)[reply]

Yes, this page needs expansion, wit examples and illustrations.

In need of a re-write

Very bad article in need of a re-write. The "Implementation" section is quite pathetic--if I didn't already know this stuff I'd be utterly lost. To propose merging with the Inverse Transform Sampling article would just make that article harder to understand. It would be better to completely delete this and keep the Inverse Transform Sampling article than merge the two. — Preceding unsigned comment added by 149.97.32.36 (talk) 16:48, 17 April 2012 (UTC)[reply]

I have removed the merge template as the topics are entirely different. Moving the applications up should have made this clear. Melcombe (talk) 20:52, 17 April 2012 (UTC)[reply]

any (??) given continuous distribution

"the probability integral transform or transformation relates to the result that data values that are modelled as being random variables from any given continuous distribution can be converted to random variables having a uniform distribution." I suppose that is not correct generally, but only for one dimensional continuous distributions. What do you think? 178.11.188.21 (talk) 16:55, 31 January 2013 (UTC)[reply]