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Basic harness for testing NIST problems.

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Change-Id: I5baaa24dbf0506ceedf4a9be4ed17c84974d71a1
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Sameer Agarwal
2012-08-29 18:18:48 -07:00
parent 98bf14d2b9
commit ea11704857
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data/nist/Gauss2.dat
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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
97.58776 1.000000
97.76344 2.000000
96.56705 3.000000
92.52037 4.000000
91.15097 5.000000
95.21728 6.000000
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