A Note on the Non-Equivalence of the Neyman-Pearson and Generalized Likelihood Ratio Tests for Testing a Simple Null Versus a Simple Alternative Hypothesis

Author
Solomon, Daniel L.
Cornell University. Biometrics Unit.
Cornell University. Dept. of Biometrics.
Cornell University. Dept. of Biological Statistics and Computational Biology.
Journal / Series
Biometrics Unit Technical Reports; Number BU-510-M
Description
3 pages, 1 article
*A Note on the Non-Equivalence of the Neyman-Pearson and Generalized Likelihood Ratio Tests for Testing a Simple Null Versus a Simple Alternative Hypothesis* (Solomon, Daniel L.) 3 pages
Date Issued
1974-05
Keywords
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Type
periodical