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Diffstat (limited to 'data/nist/MGH17.dat')
| -rw-r--r-- | data/nist/MGH17.dat | 93 |
1 files changed, 93 insertions, 0 deletions
diff --git a/data/nist/MGH17.dat b/data/nist/MGH17.dat new file mode 100644 index 0000000..3b3b7e8 --- /dev/null +++ b/data/nist/MGH17.dat @@ -0,0 +1,93 @@ +NIST/ITL StRD
+Dataset Name: MGH17 (MGH17.dat)
+
+File Format: ASCII
+ Starting Values (lines 41 to 45)
+ Certified Values (lines 41 to 50)
+ Data (lines 61 to 93)
+
+Procedure: Nonlinear Least Squares Regression
+
+Description: This problem was found to be difficult for some very
+ good algorithms.
+
+ See More, J. J., Garbow, B. S., and Hillstrom, K. E.
+ (1981). Testing unconstrained optimization software.
+ ACM Transactions on Mathematical Software. 7(1):
+ pp. 17-41.
+
+Reference: Osborne, M. R. (1972).
+ Some aspects of nonlinear least squares
+ calculations. In Numerical Methods for Nonlinear
+ Optimization, Lootsma (Ed).
+ New York, NY: Academic Press, pp. 171-189.
+
+Data: 1 Response (y)
+ 1 Predictor (x)
+ 33 Observations
+ Average Level of Difficulty
+ Generated Data
+
+Model: Exponential Class
+ 5 Parameters (b1 to b5)
+
+ y = b1 + b2*exp[-x*b4] + b3*exp[-x*b5] + e
+
+
+
+ Starting values Certified Values
+
+ Start 1 Start 2 Parameter Standard Deviation
+ b1 = 50 0.5 3.7541005211E-01 2.0723153551E-03
+ b2 = 150 1.5 1.9358469127E+00 2.2031669222E-01
+ b3 = -100 -1 -1.4646871366E+00 2.2175707739E-01
+ b4 = 1 0.01 1.2867534640E-02 4.4861358114E-04
+ b5 = 2 0.02 2.2122699662E-02 8.9471996575E-04
+
+Residual Sum of Squares: 5.4648946975E-05
+Residual Standard Deviation: 1.3970497866E-03
+Degrees of Freedom: 28
+Number of Observations: 33
+
+
+
+
+
+
+
+
+
+Data: y x
+ 8.440000E-01 0.000000E+00
+ 9.080000E-01 1.000000E+01
+ 9.320000E-01 2.000000E+01
+ 9.360000E-01 3.000000E+01
+ 9.250000E-01 4.000000E+01
+ 9.080000E-01 5.000000E+01
+ 8.810000E-01 6.000000E+01
+ 8.500000E-01 7.000000E+01
+ 8.180000E-01 8.000000E+01
+ 7.840000E-01 9.000000E+01
+ 7.510000E-01 1.000000E+02
+ 7.180000E-01 1.100000E+02
+ 6.850000E-01 1.200000E+02
+ 6.580000E-01 1.300000E+02
+ 6.280000E-01 1.400000E+02
+ 6.030000E-01 1.500000E+02
+ 5.800000E-01 1.600000E+02
+ 5.580000E-01 1.700000E+02
+ 5.380000E-01 1.800000E+02
+ 5.220000E-01 1.900000E+02
+ 5.060000E-01 2.000000E+02
+ 4.900000E-01 2.100000E+02
+ 4.780000E-01 2.200000E+02
+ 4.670000E-01 2.300000E+02
+ 4.570000E-01 2.400000E+02
+ 4.480000E-01 2.500000E+02
+ 4.380000E-01 2.600000E+02
+ 4.310000E-01 2.700000E+02
+ 4.240000E-01 2.800000E+02
+ 4.200000E-01 2.900000E+02
+ 4.140000E-01 3.000000E+02
+ 4.110000E-01 3.100000E+02
+ 4.060000E-01 3.200000E+02
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