逢甲學報, Band 13逢甲大學, 1980 |
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A Note On Least Square Estimation In Linear Regression Models Hsien Teh Lin 1. Introduction We study the linear regression model Y = XB + ε ...... ·· ( 1 ) where Y is an nx1 vector of observable ... Estimation In Linear Regression Models 1.
A Note On Least Square Estimation In Linear Regression Models Hsien Teh Lin 1. Introduction We study the linear regression model Y = XB + ε ...... ·· ( 1 ) where Y is an nx1 vector of observable ... Estimation In Linear Regression Models 1.
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... Estimation In Linear Regression Models The next matter to settle before least square estimation can be discussed is whether an unbiased linear estimator of B exists . A necessary and sufficient condi- tion will be given by Theorem 1 ...
... Estimation In Linear Regression Models The next matter to settle before least square estimation can be discussed is whether an unbiased linear estimator of B exists . A necessary and sufficient condi- tion will be given by Theorem 1 ...
Seite
... Estimation , Identification , and Control " MIT Press , Cambridge , Mass , 1964 . [ 7 ] Meditch J. S. , " Stochastic Optimol Linear Estimation and Control " McGraw- Hill , New York , 1971 . [ 8 ] Meier , III , L. and R. E. Larson and ...
... Estimation , Identification , and Control " MIT Press , Cambridge , Mass , 1964 . [ 7 ] Meditch J. S. , " Stochastic Optimol Linear Estimation and Control " McGraw- Hill , New York , 1971 . [ 8 ] Meier , III , L. and R. E. Larson and ...