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An optimal approach for hypothesis testing in the presence of incomplete data

โœ Scribed by Albert Vexler; Sergey Tarima


Publisher
Springer Japan
Year
2010
Tongue
English
Weight
557 KB
Volume
63
Category
Article
ISSN
0020-3157

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## Abstract A modification of the numbers of degrees of freedom which makes the __F__ ratio test of the equality of two variances applicable also in the paired case with incomplete data is suggested. Monte Carlo simulation studies indicate that the suggested test is reasonably powerful in many case