In Monte Carlo simulation, Latin hypercube sampling (LHS) (McKay et al (1979)) is a well-known variance reduction technique for vectors of independent random variables. The method presented here, ...

Latin hypercube sampling (LHS) is a popular method for evaluating the expectation of functions in computer experiments. However when the expectation of interest is taken with respect to a nonuniform ...