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Diffstat (limited to 'data/nist/Gauss2.dat')
| -rw-r--r-- | data/nist/Gauss2.dat | 310 |
1 files changed, 310 insertions, 0 deletions
diff --git a/data/nist/Gauss2.dat b/data/nist/Gauss2.dat new file mode 100644 index 0000000..38222eb --- /dev/null +++ b/data/nist/Gauss2.dat @@ -0,0 +1,310 @@ +NIST/ITL StRD
+Dataset Name: Gauss2 (Gauss2.dat)
+
+File Format: ASCII
+ Starting Values (lines 41 to 48)
+ Certified Values (lines 41 to 53)
+ Data (lines 61 to 310)
+
+Procedure: Nonlinear Least Squares Regression
+
+Description: The data are two slightly-blended Gaussians on a
+ decaying exponential baseline plus normally
+ distributed zero-mean noise with variance = 6.25.
+
+Reference: Rust, B., NIST (1996).
+
+
+
+
+
+
+
+
+
+Data: 1 Response (y)
+ 1 Predictor (x)
+ 250 Observations
+ Lower Level of Difficulty
+ Generated Data
+
+Model: Exponential Class
+ 8 Parameters (b1 to b8)
+
+ y = b1*exp( -b2*x ) + b3*exp( -(x-b4)**2 / b5**2 )
+ + b6*exp( -(x-b7)**2 / b8**2 ) + e
+
+
+ Starting values Certified Values
+
+ Start 1 Start 2 Parameter Standard Deviation
+ b1 = 96.0 98.0 9.9018328406E+01 5.3748766879E-01
+ b2 = 0.009 0.0105 1.0994945399E-02 1.3335306766E-04
+ b3 = 103.0 103.0 1.0188022528E+02 5.9217315772E-01
+ b4 = 106.0 105.0 1.0703095519E+02 1.5006798316E-01
+ b5 = 18.0 20.0 2.3578584029E+01 2.2695595067E-01
+ b6 = 72.0 73.0 7.2045589471E+01 6.1721965884E-01
+ b7 = 151.0 150.0 1.5327010194E+02 1.9466674341E-01
+ b8 = 18.0 20.0 1.9525972636E+01 2.6416549393E-01
+
+Residual Sum of Squares: 1.2475282092E+03
+Residual Standard Deviation: 2.2704790782E+00
+Degrees of Freedom: 242
+Number of Observations: 250
+
+
+
+
+
+
+Data: y x
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+ 97.76344 2.000000
+ 96.56705 3.000000
+ 92.52037 4.000000
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+ 95.21728 6.000000
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|