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？