Estimates of the coverage of parameter space by Latin Hypercube and Orthogonal array-based sampling

•A rigorous analysis of high dimensional parameter sampling techniques.•New theoretical bounds for percentage coverage of parameter space by sampling.•Numerical simulations confirming bounds on percentage coverage of parameter space and applications of the coverage formula.•Results verifying t-way interactions coverage estimates in an experimental design setting depend on t not the total dimension.