Revision as of 16:35, 7 April 2003 edit Michael Hardy (talk \| contribs) Administrators 210,577 edits mNo edit summary ← Previous edit		Revision as of 16:39, 7 April 2003 edit undo Michael Hardy (talk \| contribs) Administrators 210,577 edits "Equally likely" doesn't make sense when the probability of any particular point is zero regardless of which continuous distribution it is. Next edit →
Line 7: *We want to generate values of ''x'' which are distributed according to this distribution. Many [[programming language]]s have the ability to generate [[~~Pseudorandom~~pseudorandom number sequence\|pseudo-randomnumbers]] which are effectively distributed according to the standard [[uniform distribution]]. If a random variable has that distribution, then the probability of its falling within any subinterval (''a'', ''b'') of the interval from 0 to 1 is just the length ''b'' - ''a'' of that subinterval. ~~numbers]] which are effectively distributed according to the standard [[uniform~~ ~~distribution]]. These are values within the range 0 to 1, where each value is~~ ~~equally-likely.~~ The '''Inverse transform sampling method''' works as follows:

Inverse transform sampling: Difference between revisions