statistics, data, mapping, errors, analysis
Dr. Rossi discusses the common errors that are made when fitting statistical models to data. Focuses on the planning, data analysis, and interpretation phases of a statistical analysis, and highlights the errors that are commonly made by researchers of these phases. The implications of these commonly made errors are discussed along with a discussion of the methods that can be used to prevent these errors from occurring. A prescription for carrying out a correct statistical analysis will be discussed.
Rossi, Ph.D., Richard, "Common Mistakes When Fitting Models to Data" (2013). Public Lecture Series. 9.