Support

Support Options

Submit a Support Ticket

 

ECE 695A Lecture 33: Model Selection/Goodness of Fit

By Muhammad Alam

Electrical and Computer Engineering, Purdue University, West Lafayette, IN

Published on

Abstract

Outline:

  • The problem of matching data with theoretical distribution
  • Parameter extractions: Moments, linear regression, maximum likelihood
  • Goodness of fit: Residual, Pearson, Cox, Akika
  • Conclusion

Cite this work

Researchers should cite this work as follows:

  • Muhammad Alam (2013), "ECE 695A Lecture 33: Model Selection/Goodness of Fit," http://nanohub.org/resources/17615.

    BibTex | EndNote

Time

Location

EE 226, Purdue University, West Lafayette, IN

Tags

nanoHUB.org, a resource for nanoscience and nanotechnology, is supported by the National Science Foundation and other funding agencies. 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.