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Oklahoma State University

Nonlinear Regression Modeling

Date Location Price
2020 Apr 16 - 17 Tulsa, OK $559

This two-day workshop provides a practical guide for nonlinear regression modeling, with a focus on developing both static and dynamic models. Techniques include the development of first-principles, empirical, dimensionless group, ARMA, FOPDT, neural network, and human linguistic models. Upon completion of this program, participants will be able to:

  • Choose appropriate concepts for defining the regression objective
  • Choose an optimization approach and criteria for convergence
  • Apply both data-based and logical criteria for model validation and model discrimination
  • Apply both batch and recursive model parameter evaluation
  • Design experiments for data generation that support model validation
  • Select an appropriate model design considering both order/complexity and in-use utility
  • Estimate model uncertainty based on data variability

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Registration

Registration includes textbook, handouts, training materials and refreshments. Lunch is on your own.

Bundle discount when you register for all three classes together: Only $1,425 per participant

  • Participants are recommended to bring their own laptop computer (with Excel 2010 or higher) to class.
  • They are recommended to download the free optimization software at prior to attending class.

OSU student discounted rate is $345 per class. The bundle price discount is not applicable for student discount. Students must call to register