If you need an accessible version of this item please contact JSTOR User Support

A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code

M. D. McKay, R. J. Beckman and W. J. Conover
Technometrics
Vol. 21, No. 2 (May, 1979), pp. 239-245
DOI: 10.2307/1268522
Stable URL: http://www.jstor.org/stable/1268522
Page Count: 7
  • Download PDF
  • Cite this Item

You are not currently logged in.

Access your personal account or get JSTOR access through your library or other institution:

login

Log in to your personal account or through your institution.

If you need an accessible version of this item please contact JSTOR User Support
A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
Preview not available

Abstract

Two types of sampling plans are examined as alternatives to simple random sampling in Monte Carlo studies. These plans are shown to be improvements over simple random sampling with respect to variance for a class of estimators which includes the sample mean and the empirical distribution function.

Page Thumbnails

  • Thumbnail: Page 
239
    239
  • Thumbnail: Page 
240
    240
  • Thumbnail: Page 
241
    241
  • Thumbnail: Page 
242
    242
  • Thumbnail: Page 
243
    243
  • Thumbnail: Page 
244
    244
  • Thumbnail: Page 
245
    245