I started off the day by looking into Poisson Regression, which seemed like a reasonable transition from looking at Poisson Distributions. Poisson Regression is a form of regression analysis that is used to model count data and contingency tables. When I looked into the details of how and why Poisson Regression is used, much of the information I found was difficult to understand and abstract. I'll definitely bring up this topic during tomorrow's meeting with Matt to see if he thinks this can be useful for us, but in the meantime I will learn about regression analysis.
I looked on the Internet for a source that had lessons on regression, and I found an on-line course from Penn State University dedicated to Regression methods. This looked like a good place to start for me, and I immediately began reading the notes on the website. Hopefully learning more about statistics as I look at techniques to fit data will allow me to better understand what I am dealing with. I looked at the syllabus for the course and there are a select few chapters that I hope to look at in the future, specifically the chapters on Model Building, Regression(logistic, Poisson, nonlinear), and Data Transformations. Today I covered a few sections on the basics of linear regression and over the weekend, I hope to have the areas I mentioned above covered so that I will be able to implement these areas in a script.
I looked on the Internet for a source that had lessons on regression, and I found an on-line course from Penn State University dedicated to Regression methods. This looked like a good place to start for me, and I immediately began reading the notes on the website. Hopefully learning more about statistics as I look at techniques to fit data will allow me to better understand what I am dealing with. I looked at the syllabus for the course and there are a select few chapters that I hope to look at in the future, specifically the chapters on Model Building, Regression(logistic, Poisson, nonlinear), and Data Transformations. Today I covered a few sections on the basics of linear regression and over the weekend, I hope to have the areas I mentioned above covered so that I will be able to implement these areas in a script.
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