You are not currently logged in.
Access your personal account or get JSTOR access through your library or other institution:
If You Use a Screen ReaderThis 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.
Maximally Selected Chi Square Statistics
Rupert Miller and David Siegmund
Vol. 38, No. 4 (Dec., 1982), pp. 1011-1016
Published by: International Biometric Society
Stable URL: http://www.jstor.org/stable/2529881
Page Count: 6
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.
Preview not available
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.
Biometrics © 1982 International Biometric Society