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Nonlinear regression in MATLAB.

A three parameter (a,b,c) model y = a + b/x + c ln(x) is fit to a set of data with the MATLAB APMonitor toolbox. This tutorial walks through the process of installing the solver, setting up the objective (normalized sum of squared errors), adjusting the parameter values to minimize the SSE, and plot...

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Bibliographic Details
Format: Video
Language:English
Language Notes:In English.
Published: [Place of publication not identified] : APMonitor.com, 2021.
Series:Academic Video Online
Subjects:
MATLAB.
MATLAB
Regression analysis > Data processing.
Nonlinear theories.
Analyse de régression > Informatique.
Théories non linéaires.
Nonlinear theories
Regression analysis > Data processing
Educational films
Instructional films
Educational films.
Instructional films.
Films éducatifs.
Films de formation.
Online Access:Connect to this streaming video (Alexander Street Press)
Description
Summary:A three parameter (a,b,c) model y = a + b/x + c ln(x) is fit to a set of data with the MATLAB APMonitor toolbox. This tutorial walks through the process of installing the solver, setting up the objective (normalized sum of squared errors), adjusting the parameter values to minimize the SSE, and plotting the results.
Item Description:Title from resource description page (viewed March 29, 2022).
Physical Description:1 online resource (16 minutes)
Playing Time:00:15:36