All Models are Right...Most are Useless2009 JSM Proceedings: Papers Presented at the Joint Statistical Meeting
Document TypeConference Proceeding
AbstractStudents of statistics are often introduced to George Box's famous quote: "all models are wrong, some are useful." In this talk I argue that this quote, although useful, is wrong. A different and more positive perspective is to acknowledge that a model is simply a means of extracting information of interest from data. The truth is infinitely complex and a model is merely an approximation to the truth. If the approximation is poor or misleading, then the model is useless. In this talk I give examples of correct models that are not true models. I illustrate how the notion of a "wrong" model can lead to wrong conclusions.
Citation InformationThaddeus Tarpey. "All Models are Right...Most are Useless" 2009 JSM Proceedings: Papers Presented at the Joint Statistical Meeting (2009) ISSN: 9780979174773
Available at: http://works.bepress.com/thaddeus_tarpey/44/