Access

You are not currently logged in.

Access JSTOR through your library or other institution:

login

Log in through your institution.

If You Use a Screen Reader

This content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Journal Article

Maximally Selected Chi Square Statistics

Rupert Miller and David Siegmund
Biometrics
Vol. 38, No. 4 (Dec., 1982), pp. 1011-1016
DOI: 10.2307/2529881
Stable URL: http://www.jstor.org/stable/2529881
Page Count: 6
Were these topics helpful?
See something inaccurate? Let us know!

Select the topics that are inaccurate.

Cancel
  • Read Online (Free)
  • Download ($14.00)
  • Subscribe ($19.50)
  • Add to My Lists
  • Cite this Item
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Maximally Selected Chi Square Statistics
Preview not available

Abstract

Two samples can be compared by selecting a cut point and then forming a 2 X 2 table of the numbers of observations above and below the cut point in each sample. When the cut point is selected so as to maximize the standard chi square statistic, the chi square percentile points are inappropriate. Actual significance levels are computed for large samples, and correct percentile points are tabulated.

Page Thumbnails

  • Thumbnail: Page 
1011
    1011
  • Thumbnail: Page 
1012
    1012
  • Thumbnail: Page 
1013
    1013
  • Thumbnail: Page 
1014
    1014
  • Thumbnail: Page 
1015
    1015
  • Thumbnail: Page 
1016
    1016
Part of Sustainability