![progressive latin hypercube sampling progressive latin hypercube sampling](https://ars.els-cdn.com/content/image/1-s2.0-S1364815216305096-gr13.jpg)
![progressive latin hypercube sampling progressive latin hypercube sampling](https://hess.copernicus.org/articles/24/735/2020/hess-24-735-2020-f17.png)
In the context of statistical sampling, a square grid containing sample positions is a Latin square if (and only if) there is only one sample in each row and each column.
#Progressive latin hypercube sampling manuals
Detailed computer codes and manuals were later published. An independently equivalent technique was proposed by Eglājs in 1977. LHS was described by Michael McKay of Los Alamos National Laboratory in 1979. The sampling method is often used to construct computer experiments or for Monte Carlo integration. Latin hypercube sampling ( LHS) is a statistical method for generating a near-random sample of parameter values from a multidimensional distribution.