Latinized Partially Stratified Sampling

Generate random samples of an nD random vector using Latinized Partially Stratified Sampling
173 Downloads
Updated 11 Jan 2016

View License

The LPSS code generates n-dimensional uniform samples on [0,1] according to the latinized partially stratified sampling methodology. The method serves to generalize the Latin hypercube sampling method such that stratification occurs on subdomains of user-prescribed dimension. The method is described in detail in:
Shields, M.D. and Zhang, J. (2016). "The generalization of Latin hypercube sampling." Reliability Engineering and System Safety. 148: 96-108.
A simple demonstration is provided that shows graphically how a five dimensional sample can be constructed according to stratification on two 2-dimensional subdomains and one 1-dimensional subdomain.

Code for application to a 6-dimensional plate buckling problem presented by Shields and Zhang is also provided.

Cite As

Michael Shields (2024). Latinized Partially Stratified Sampling (https://www.mathworks.com/matlabcentral/fileexchange/54847-latinized-partially-stratified-sampling), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2015b
Compatible with any release
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Version Published Release Notes
1.0.0.0