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   y vs. x
Dataset
Name:
MGH17

Procedure: Nonlinear Least Squares Regression
Certification Method & Definitions

Data: 1 Response Variable (y)
1 Predictor Variable (x)
33 Observations
Average Level of Difficulty
Generated Data
Data file (ASCII Format)
Additional Information

Model: Exponential Class
5 Parameters (beta(1) to beta(5) to beta(1) to beta(5))
Starting Values

y = f(x;beta) + e = beta(1) + beta(2)exp[-beta(4)x] + beta(3)exp[-beta(5)x] + e

Results: Certified Values
Graphics

Reference: Osborne, M. R. (1972).
Some aspects of nonlinear least squares calculations.
In Numerical Methods for Nonlinear Optimization, Lootsma (Ed).
New York, NY: Academic Press, pp. 171-189.