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Course: Numerical Methods

NONLINEAR REGRESSION

 

Power Model : Transformed Data : Derivation

 

By Autar Kaw

TOPIC DESCRIPTION
 

Learn how to transform the data to find the regression constants of a power model.

 

This video teaches you how the regression constants can be found in the power model of regression by transforming the data.
ALL VIDEOS FOR THIS TOPIC
 

Power Model: Derivation: Part 1 of 2 [YOUTUBE 4:07]

Power Model: Derivation: Part 2 of 2 [YOUTUBE 8:11]

Power Model : Transformed Data: Derivation [YOUTUBE 8:52]

Power Model : Transformed Data: Example Part 1 of 2  [YOUTUBE 5:49]

Power Model : Transformed Data: Example Part 2 of 2  [YOUTUBE 9:12]

 

Exponential Model Regression: Derivation: Part 1 of 2 [YOUTUBE 5:50]

Exponential Model Regression: Derivation: Part 2 of 2 [YOUTUBE 9:50]

Exponential Model :  Example Part 1 of 2  [YOUTUBE 10:07]

Exponential Model :  Example Part 2 of 2  [YOUTUBE 1:44]

 

Exponential Model : Transformed Data: Derivation [YOUTUBE 9:37]

Exponential Model : Transformed Data: Example Part 1 of 2  [YOUTUBE 7:11]

Exponential Model : Transformed Data: Example Part 2 of 2  [YOUTUBE 9:14]

 

Saturation Growth Model: Transformed Data: Derivation [YOUTUBE 8:27]

 

Harmonic Decline Curve: Transformed Data: Derivation [YOUTUBE 9:16]

Harmonic Decline Curve : Transformed Data: Example Part 1 of 2  [YOUTUBE 6:18]

Harmonic Decline Curve : Transformed Data: Example Part 2 of 2  [YOUTUBE 8:47]

 

Polynomial Model :  Derivation: Part 1 of 2  [YOUTUBE 7:47]

Polynomial Model :  Derivation: Part 2 of 2   [YOUTUBE 9:40]

Polynomial Model :  Example Part 1 of 2  [YOUTUBE 6:42]

Polynomial Model :  Example Part 2 of 2  [YOUTUBE 6:16]
COMPLETE RESOURCES
  Get in one place the following: a textbook chapter, a PowerPoint presentation, individual YouTube lecture videos, worksheets to illustrate the method and its convergence, and multiple-choice questions on Nonlinear Regression.

Copyrights: UnCreative Commons Licenseiversity of South Florida, 4202 E Fowler Ave, Tampa, FL 33620-5350. All Rights Reserved. Questions, suggestions or comments, contact kaw@eng.usf.edu  This material is based upon work supported by the National Science Foundation under Grant# 0126793, 0341468, 0717624,  0836981.  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.  Other sponsors include Maple, MathCAD, USF, FAMU and MSOE.  Numerical Methods for Undergraduates by http://numericalmethods.eng.usf.edu is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 United States License.  Based on a work at numericalmethods.eng.usf.edu.