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Gauss1
Dataset
Certified Values

Dataset
Name:

Gauss1

Procedure: Nonlinear Least Squares Regression
Certification Method & Definitions

Data: 1 Response Variable (y)
1 Predictor Variable (x)
250 Observations
Lower Level of Difficulty
Generated Data

Model: y = f(x;beta) + e   =   beta(1)exp[-beta(2)x] + beta(3) exp[-(x - beta(4)^2 / beta(5)^2] + beta(6) exp[-(x - beta(7)^2 / beta(8)^2] + e




Parameter
     Certified
Estimate
     Certified
Std. Dev. of Est.
     beta(1) 9.8778210871E+01 5.7527312730E-01
     beta(2) 1.0497276517E-02 1.1406289017E-04
     beta(3) 1.0048990633E+02 5.8831775752E-01
     (4) 6.7481111276E+01 1.0460593412E-01
     beta(5) 2.3129773360E+01 1.7439951146E-01
     beta(6) 7.1994503004E+01 6.2622793913E-01
     beta(7) 1.7899805021E+02 1.2436988217E-01
     beta(8) 1.8389389025E+01 2.0134312832E-01

Residual
     Sum of Squares 1.3158222432E+03
     Standard Deviation 2.3317980180E+00
     Degrees of Freedom 242