Each personal style employs, in a unique way, a set of style markers that can be objectively identified and scientifically measured using statistical methods in order to find style discriminators and handle literary and forensic issues of authorship attribution. This book suggests a new method to identify particular style discriminators between any two authors (among a set of authors) through a precisely defined way of data gathering and data analysis, rather than suggesting a fixed set of discriminators and claiming that it works in every case. Challenging at-issue texts are chosen from typical and extreme sample texts written by four Persian authors with similar styles to check the method. The authorship of each at-issue text is attributed accurately in every case. The method proved to be efficient and the results are illustrated at the end of the book, using an innovative mapping technique which applies geometry. It is highly expected that the method is also applicable in other languages.