Latin hypercube sampling: Difference between revisions

Revision as of 20:43, 17 July 2014

Revision as of 10:41, 20 September 2014

Line 44:

Thus, orthogonal sampling ensures that the ensemble of random numbers is a very good representative of the real variability, LHS ensures that the ensemble of random numbers is representative of the real variability whereas traditional random sampling (sometimes called brute force) is just an ensemble of random numbers without any guarantees.

==References==

<references/>

==Further reading==

Line 54 ⟶ 52:

*{{cite journal |last=Owen |first=A.B. |title=Orthogonal arrays for computer experiments, integration and visualization |journal=Statistica Sinica |volume=2 |pages=439–452 |year=1992 }}

*{{cite journal |doi=10.2307/2670057 |last=Ye |first=K.Q. |title=Orthogonal column Latin hypercubes and their application in computer experiments |journal=Journal of the American Statistical Association |volume=93 |issue=444 |pages=1430–1439 |year=1998 |jstor=2670057 }}

{{Experimental design}}