معرفی
Jason Osborne is a Professor in the Department of Statistics at North Carolina State University. He holds a Ph.D. in Statistics from Northwestern University (1997). His research focuses on statistical applications in sports analytics, statistical consulting, and mixture models. Notable contributions include developing the 'hiddenF' R package for testing hidden additivity and the 'MBLDecideR' Shiny app for baseball analysis. Osborne has been recognized with the Dr. D. D. Mason Award (2012-2013).
He teaches courses such as ST422 (Mathematical Statistics II), ST431 (Design of Experiments), and ST512 (Statistical Methods for Researchers II). His methodological work spans areas like particle flow measurement and robust statistical software. He consults for departments in the College of Agriculture and Life Sciences, including Bio & Ag Engineering and Poultry Science.
Osborne’s research interests also include statistical applications in sports, with recent work on NFL field goal probability estimation and sports analytics. His software contributions emphasize practical tools for statistical testing and data analysis.
