Abstract This document has been designed for users of the computer program developed by the authors at Sandia National Laboratories for the generation of either Latin hypercube or random multivariate samples. The Latin hypercube technique employs a constrained sampling scheme, whereas random sampling corresponds to a simple Monte Carlo technique. The generation of these samples is based on information supplied to the program by the user describing the variables or parameters used as input to the computer model.

PEST Utilities for Latin Hypercube Sampling. A User’s Guide to Sandia’s Latin Hypercube Sampling Software: LHS UNIX Library/Standalone Version.

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The actual sampled values are used to form vectors of variables commonly used as input to computer models for purposes of sensitivity and uncertainty analysis studies. The present program replaces the previous Latin hypercube sampling program developed at Sandia National Laboratories (Iman, Davenport, and Zeigler, 1980). The present version is written using FORTRAN 77 and greatly extends the program while making the program portable and user friendly. Lionel Loueke Heritage Rapidshare Downloader. Authors:; Publication Date: 1984-03-01 Research Org.: Sandia National Labs., Albuquerque, NM (USA) Sponsoring Org.: USDOE OSTI Identifier: 7091452 Report Number(s): NUREG/CR-3624; SAND-83-2365 ON: DE84013744 DOE Contract Number: AC04-76DP00789 Resource Type: Technical Report Resource Relation: Other Information: Portions are illegible in microfiche products. Includes 2 sheets of 24x reduction microfiche Country of Publication: United States Language: English Subject: 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; COMPUTER CALCULATIONS; MULTIVARIATE ANALYSIS; COMPUTER CODES; L CODES; FORTRAN; MONTE CARLO METHOD; SAMPLING; MATHEMATICS; PROGRAMMING LANGUAGES; STATISTICS; 990200* - Mathematics & Computers. This document is designed for users of the program developed at Sandia Laboratories by the authors to generate Latin hypercube samples. Latin hypercube sampling is a recently developed sampling technique for generating input vectors into computer models for purposes of sensitivity analysis studies.