Incorrect F-statistic to test nonhomogeneous hypothesis in bivariate regression analysis
In Regression analysis, an F test can be viewed as a comparison between a full and a restricted model. The most general F formula compares the error sums of squares (SSE’s) of these two models. This F formula is always correct because the SSE comparison is meaningful in all tests. Other formulas u...
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フォーマット: | 論文 |
言語: | English |
出版事項: |
BRAC University
2010
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主題: | |
オンライン・アクセス: | http://hdl.handle.net/10361/540 |