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Lectures (Video)

Numerical Methods V

Course Summary

This course is based on Numerical Methods - Regression made available by Holistic Numerical Methods Institute, University of South Florida under the Creative Commons BY-NC-SA license.
This is a course on the basics of numerical methods and how they are used to solve scientific and engineering problems. It is accompanied by a comprehensive set of video lectures, presentation slides, textbook notes, worksheets and application examples. The lectures are in short segments of less than 10 minutes. Part V covers regression analysis using linear regression model and nonlinear regression models.

Reading Material

1. Numerical Methods with Applications - Chapter 6
Author: Autar Kaw et al.
Published: May 4, 2010
ISBN: 978-0-578-05765-1

Course Material

1. A Primer on Statistical Terminology for Regression Analysis

2. Introduction to Regression

3. Test Your Knowledge on Background of Regression

4. Physical Problem
Finding a regression model for calculating the contraction of a trunnion immersed in liquid nitrogen.

5. Comparing Nonlinear Regression Models - With and Without Data Linearization

6. On Adequacy of Regression Models

7. Multivariate Least Squares Fitting

8. Examples of Linear Regression

Civil Engineering
Computer Engineering
Industrial Engineering
Mechanical Engineering

9. Examples of Nonlinear Regression

Chemical Engineering
Computer Engineering
Electrical Engineering

10. Sample Tests

Linear Regression
Nonlinear Regression

Other Resources

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