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Gauss2
Dataset
Certified Values

Dataset
Name:

Gauss2

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) 9.9018328406E+01 5.3748766879E-01
     beta(2) 1.0994945399E-02 1.3335306766E-04
     beta(3) 1.0188022528E+02 5.9217315772E-01
     beta(4) 1.0703095519E+02 1.5006798316E-01
     beta(5) 2.3578584029E+01 2.2695595067E-01
     beta(6) 7.2045589471E+01 6.1721965884E-01
     beta(7) 1.5327010194E+02 1.9466674341E-01
     beta(8) 1.9525972636E+01 2.6416549393E-01

Residual
     Sum of Squares 1.2475282092E+03
     Standard Deviation 2.2704790782E+00
     Degrees of Freedom 242