On statistical test construction for a literary work authorship attribution.
The problem of anonymous or pseudonymous literary work attribution has a long history and a broad range of applications. Statistical tests are extensively used for this problem solving. However these tests enable us to give an opportunity for testing an authorship hypothesis only for a single linguo-statistical parameter. This paper proposes a new approach to the statistical test construction for testing an authorship hypothesis. The approach allows us to take into account all available linguostatistical parameters simultaneously. It is based on an inductive construction of a sentence classifier which serves as a basis for the statistical test for testing hypothesis whether a text comes from a particular author's pen. A statistical test based on an inductive construction of a sentence classifier has been used for testing F. M. Dostoevsky's authorship. The results obtained show the approach capacity for work even in the short literary text case.