The problem of two-group identificationFootnote²

²This work was supported in part by the Polish Academy of Science (Grant No. 10.5).

References

• Aitchison , J. and Aitken , C.G.G. 1976 . Multivariate binary discrimination by the kernel method . Biometrika , 63 : 413 – 420 .
   Web of Science ®Google Scholar
• Anderson , T.W. 1958 . An Introduction to Multivariate Statistical Analysis , New York : John Wiley .
   Google Scholar
• Cochran , W. and Hopkins , C. 1961 . Some classification problems with multivariato qualitative data . Biometrics , 17 : 10 – 32 .
   Web of Science ®Google Scholar
• Glick , N. 1972 . Sample-based classification procedures derived from density estimators . J. Amer. Statist. Assoc , 67 : 116 – 122 .
   Web of Science ®Google Scholar
• Glick , N. 1973 . Sample-based multinomial classification . Biometrics , 29 : 241 – 256 .
   Web of Science ®Google Scholar
• Gnot , S. 1977 . The essentially complete class of rules in multinomial identification . Math. Operationsforsch. Statist., Ser. Statistics , 8 : 381 – 386 .
   Google Scholar
• Lehmann , E. 1958 . Significance level and power . Ann. Math. Statist , 29 : 1167 – 1176 .
   Google Scholar
• Matthes , T.K. and Truax , D.R. 1967 . Tests of composite hypotheses for the multivariate exponential family . Ann. Math. Statist , 38 : 681 – 697 .
   Google Scholar
• Truax , D.R. 1955 . Multidecision problems for the multivariate exponential family , 38 Stanford Technical Report No 32
   Google Scholar