A Study of the Authorship of the Books of Oz Using Nested Linear Models
José Binongo, Darcy P. Mays · Communications in Statistics - Simulation and Computation · 2005
The variability of a writer's style has been studied in a number of ways by researchers interested in authorship attribution. However, to date, the analysis of variance has not emerged as a technique for distinguishing between writers. This article first employs nested linear models to find lexical variables which discriminate the two authors of the books of Oz. In the second-stage nested model, the chosen variables are used to ascribe the correct author of books treated as anonymous. Having been found to have sharp discriminating capability, the method is then applied to identify the author of the 15th book. The result supports prevailing consensus on the book's authorship.