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A Gauss-Newton Method for Nonlinear Regression
Volume 1, Issue 2
Fall 1990
M. N. Ediger, U.S. Food and Drug Administration
We implement a Gauss-Newton method for fitting a specified nonlinear
model to observed values by using iterative linear-regression steps to
reduce the sum-of-squares error between the model and observations. A brief
example of fitting observed laser energy measurements to a Gaussian model
is provided.
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