?? 例09-15計算結果.lst
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The SAS System 09:34 Monday, April 1, 2002 81
Non-Linear Least Squares Iterative Phase Dependent Variable Y Method: Gauss-Newton
Iter A B Sum of Squares
0 4.000000 0.030000 496541
1 3.437978 0.022758 65620.799712
2 3.394837 0.006838 9535.464658
3 3.804354 -0.016482 1267.305221
4 4.015841 -0.032849 122.168744
5 4.064593 -0.038780 50.351969
6 4.070521 -0.039552 49.460823
7 4.070835 -0.039585 49.459302
8 4.070846 -0.039586 49.459300
9 4.070847 -0.039586 49.459300
NOTE: Convergence criterion met.
Non-Linear Least Squares Summary Statistics Dependent Variable Y
Source DF Sum of Squares Mean Square
Regression 2 12060.540700 6030.270350
Residual 13 49.459300 3.804562
Uncorrected Total 15 12110.000000
(Corrected Total) 14 3943.333333
Parameter Estimate Asymptotic Asymptotic 95 %
Std. Error Confidence Interval
Lower Upper
A 4.070846731 0.02511937531 4.0165796521 4.1251138093
B -0.039586452 0.00171129396 -0.0432834752 -0.0358894280
Asymptotic Correlation Matrix
Corr A B
----------------------------------------
A 1 -0.707147352
B -0.707147352 1
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