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Gauss3
Dataset
Certified Values

Dataset
Name:

Gauss3

Procedure: Nonlinear Least Squares Regression
Certification Method & Definitions

Data: 1 Response Variable (y)
1 Predictor Variable (x)
250 Observations
Average 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) 9.8940368970E+01 5.3005192833E-01
     beta(2) 1.0945879335E-02 1.2554058911E-04
     beta(3) 1.0069553078E+02 8.1256587317E-01
     beta(4) 1.1163619459E+02 3.5317859757E-01
     beta(5) 2.3300500029E+01 3.6584783023E-01
     beta(6) 7.3705031418E+01 1.2091239082E+00
     beta(7) 1.4776164251E+02 4.0488183351E-01
     beta(8) 1.9668221230E+01 3.7806634336E-01

Residual
     Sum of Squares 1.2444846360E+03
     Standard Deviation 2.2677077625E+00
     Degrees of Freedom 242