研究文章

预测的峰有限公司2在中国使用STIRPAT模型排放

表2

岭估计的系数值

_RIDGE_ _RMSE_ 拦截 x1 x2 x3 x4 x5 x6

0 0 0.078284 1.853315 0.971664 3.98 e-08 −3.6 e-09 −1.3 e-09
0.05 0.013621 −4.06856 3.91358 0.154094 −0.1459 0.672474 1.647865 0.028697
0.1 0.01573 −3.70058 3.663732 0.147276 −0.17567 0.635763 1.588497 −0.00499
0.15 0.018005 −3.45057 3.515171 0.143406 −0.18573 0.613803 1.508606 −0.03088
0.2 0.020388 −3.25215 3.406391 0.140245 −0.18989 0.597171 1.428594 −0.05225
0.25 0.022793 −3.08336 3.318024 0.137428 −0.19154 0.583269 1.352639 −0.07037
0.3 0.025169 −2.9346 3.242079 0.134839 −0.19191 0.571062 1.281704 −0.08596
0.35 0.027488 −2.80075 3.174591 0.132426 −0.19156 0.560039 1.215826 −0.09948
0.4 0.029739 −2.6787 3.113325 0.130158 −0.19078 0.549911 1.154741 −0.11129
0.45 0.031916 −2.56636 3.056892 0.128016 −0.18972 0.540495 1.098091 −0.12166
0.5 0.034019 −2.46223 3.004369 0.125982 −0.18848 0.531666 1.045499 −0.13078
0.55 0.036049 −2.36517 2.955104 0.124047 −0.18712 0.523336 0.996607 −0.13884
0.6 0.03801 −2.27429 2.908617 0.122199 −0.18569 0.515438 0.951084 −0.14598
0.65 0.039906 −2.18888 2.864542 0.12043 −0.18421 0.507918 0.908627 −0.15232
0.7 0.04174 −2.10834 2.822592 0.118734 −0.1827 0.500737 0.868964 −0.15795
0.75 0.043515 −2.03218 2.782534 0.117105 −0.18117 0.49386 0.831852 −0.16295
0.8 0.045236 −1.95998 2.744178 0.115536 −0.17964 0.487257 0.797071 −0.16741
0.85 0.046905 −1.89138 2.707365 0.114025 −0.17811 0.480907 0.764426 −0.17137
0.9 0.048525 −1.82606 2.671962 0.112566 −0.17658 0.474787 0.733739 −0.17491
0.95 0.0501 −1.76375 2.637852 0.111157 −0.17506 0.46888 0.704854 −0.17805
1 0.051632 −1.70421 2.604937 0.109793 −0.17356 0.463171 0.677627 −0.18084