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| THEORY AND COMPUTATION OF RESTRICTED LINEAR MODELS | |
| 作者姓名： | 陈乃五 李剑铿 |
| 作者单位： | The Chinese University of Hong Kong，The Chinese University of Hong Kong |
| 摘 要： | Least squares inverses and complementary matrices are used to develop a comprehensive theory of estimation for a restricted linear model.Testable hypotheses as defined in Searle [8] are extended to involve nonestimable functions.An explicit expression for the sum of squares of deviation from the null hypothesis under the general setup with restrictions (Rao [7,p.242])and the corresponding number of degrees of freedom are obtained for implementation on computers. |
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