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Gauss1
Dataset
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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


The data are two well-separated Gaussians on a decaying exponential baseline plus normally distributed zero-mean noise with variance = 6.25.