the final mle estimates are :
coefficient standard-error t-ratio
beta 0 -0.31031368E+04 0.99998762E+00 -0.31031752E+04
beta 1 -0.91926049E+03 0.99929816E+00 -0.91990611E+03
beta 2 0.10217374E+04 0.99792278E+00 0.10238642E+04
beta 3 0.20685986E+03 0.95942116E+00 0.21560902E+03
beta 4 0.10311235E+02 0.57599999E+00 0.17901449E+02
beta 5 -0.17087389E+03 0.87482527E+00 -0.19532345E+03
sigma-squared 0.59842545E+03 0.10025538E+01 0.59690109E+03
gamma 0.99999999E+00 0.28048546E-02 0.35652472E+03
mu is restricted to be zero
eta is restricted to be zero
log likelihood function = -0.13692907E+02
LR test of the one-sided error = 0.94137986E+01
with number of restrictions = 1
[note that this statistic has a mixed chi-square distribution]
我是在做一个污染产出排放效率的问题。
A:γ 0.9999这么大是不是有问题?
B:log值是负的怎么办?
C:怎样判断LR 统计检验具有显著性?
D:这个数据是不是有问题?