iteration = 0 func evals = 20 llf = -0.17876757E+04
-0.59322572E+04-0.10603090E+04-0.75218061E+03 0.18946118E+04 0.77827364E+04
-0.31064120E+03 0.22536073E+05-0.35751660E+02 0.46661098E+08 0.88000000E+00
0.00000000E+00
gradient step
pt better than entering pt cannot be found
iteration = 2 func evals = 51 llf = -0.17590507E+04
-0.59322572E+04-0.10603090E+04-0.75218059E+03 0.18946118E+04 0.77827364E+04
-0.31064120E+03 0.22536073E+05-0.35751668E+02 0.46661098E+08 0.89047756E+00
-0.14188709E+00
the final mle estimates are :
coefficient standard-error t-ratio
beta 0 -0.59322572E+04 0.10000000E+01 -0.59322572E+04
beta 1 -0.10603090E+04 0.10000000E+01 -0.10603090E+04
beta 2 -0.75218059E+03 0.10000000E+01 -0.75218059E+03
beta 3 0.18946118E+04 0.10000000E+01 0.18946118E+04
beta 4 0.77827364E+04 0.10000000E+01 0.77827364E+04
beta 5 -0.31064120E+03 0.10000000E+01 -0.31064120E+03
beta 6 0.22536073E+05 0.10000000E+01 0.22536073E+05
beta 7 -0.35751668E+02 0.10000000E+01 -0.35751668E+02
sigma-squared 0.46661098E+08 0.10000000E+01 0.46661098E+08
gamma 0.89047756E+00 0.86349317E+00 0.10312503E+01
mu is restricted to be zero
eta -0.14188709E+00 0.50471968E+00 -0.28112057E+00
covariance matrix :
这个矩阵接近单位矩阵。
本人统计基础不是很好,能说明一下出现这种问题的原因吗?


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