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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 random variables , X is an nxk matrix of ...
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 random variables , X is an nxk matrix of ...
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Hence , a " best " ( or minimum varia nce ) unbia- sed linear estimator of B in the linear regression model ( 1 ) is a linear estimator ( 5 ) which has smallest variance AVA ' among all those linear unbiased estimators .
Hence , a " best " ( or minimum varia nce ) unbia- sed linear estimator of B in the linear regression model ( 1 ) is a linear estimator ( 5 ) which has smallest variance AVA ' among all those linear unbiased estimators .
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1 本文係採用一線性分析模型( Linear Analytical Model 代表系統動態現象,導出系統方程式,然後利用計算機求出該特性方程式之根加以分析檢討,選擇系統穩定器適當設置值( Setting Value ) ,以解決電力系統動態穩定度問題。經研討結果認爲發電機組運用於高 ...
1 本文係採用一線性分析模型( Linear Analytical Model 代表系統動態現象,導出系統方程式,然後利用計算機求出該特性方程式之根加以分析檢討,選擇系統穩定器適當設置值( Setting Value ) ,以解決電力系統動態穩定度問題。經研討結果認爲發電機組運用於高 ...
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