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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," https://nanohub.org/resources/17615.

    BibTex | EndNote

Time

Location

EE 226, Purdue University, West Lafayette, IN

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