Level: Intermediate

 

Clay Barker, JMP Principal Research Statistician Developer, SAS

 

The Generalized Regression platform in JMP Pro is a flexible and powerful tool for building regression models. While we often talk about the variable selection methods built into the platform, we cannot forget about the ability to specify the distribution of the response. Do we have count data or a skewed response? Or is the normal distribution sufficient? In this talk we will give a brief overview of generalized linear models and then provide some strategies for choosing the best distribution for your response in the Generalized Regression platform.

 

 

Published on ‎03-24-2025 08:36 AM by Community Manager Community Manager | Updated on ‎03-26-2025 04:46 PM

Level: Intermediate

 

Clay Barker, JMP Principal Research Statistician Developer, SAS

 

The Generalized Regression platform in JMP Pro is a flexible and powerful tool for building regression models. While we often talk about the variable selection methods built into the platform, we cannot forget about the ability to specify the distribution of the response. Do we have count data or a skewed response? Or is the normal distribution sufficient? In this talk we will give a brief overview of generalized linear models and then provide some strategies for choosing the best distribution for your response in the Generalized Regression platform.

 

 



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Start:
Mon, Oct 14, 2019 09:00 AM EDT
End:
Fri, Oct 18, 2019 05:00 PM EDT
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