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s.D DEpEnDEnt

mean dependent var是因变量均值,S.D. dependent var是因变量标准差

TSS=SD^2*(N-1) ESS=TSS-RSS=SD^2*(N-1)-RSS

标准差度量了真实值与均值的离差,标准误度量的是真实值与估计值的离差

Mean dependent var被解释变量的均值 S.D dependent var被解释变量标准差

MEAN DEPENDENT VAR 被解释变量的均值S.D. DEPENDENT VAR 被解释变量的标准差AKAIKE INFO CRITERION 赤迟信息准则SCHWARZ CRITERION施瓦茨准则,以上两者都是用来确定最...

of regression和Sum squared resid只是跟RSS有关系,不于ESS产生关系,你应该还加入一项,比如说判定系数R-squared ,或者 S.D. dependent var,不然你所说的三者中,...

Adjusted R-squared 0.873913 S.D. dependent var 1463.219S.E. of regression 519.5698 Akaike info criterion 15.53956Sum squared resid 6478867. Schwarz ...

R-squared 0.096175 Mean dependent var 1.18E-05Adjusted R-squared -0.011423 S.D. dependent var 1.61E-05S.E. of regression 1.62E-05 Akaike info ...

Adjusted R-squared 0.995720 S.D. dependent var 838.8779 S.E. of regression 54.88001 Akaike info criterion 11.03558 Sum squared resid 33129.97 Sch...

Adjusted R-squared 0.282582 S.D. dependent var 9616.556S.E. of regression 8145.276 Akaike info criterion 20.88669Sum squared resid 6.50E+09 Schwarz...

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