! main program if you want non-reproducible runs each time. ! - Each axis is stratified into N bins and independently permuted.

This project implements Latin Hypercube Sampling (LHS) and Fractional Factorial Design (FFD) methods to generate scenarios for a stated preference survey. The survey focuses on examining the factors ...

Abstract: The Latin hypercube sampling (LHS) has been used as a variance-reduction estimation tool for an efficient sampling-based variability analysis of analog circuits. For a certain estimation ...

Abstract: Latin hypercube sampling (LHS) is a variance-reduction technique (VRT) that can be thought of as an extension of stratified sampling in higher dimensions. It can also be considered a ...

In this paper, we are interested to find the most sensitive parameter, local and global stability of ovarian tumor growth model. For sensitivity analysis, we use Latin Hypercube Sampling (LHS) method ...