In the contribution, we suggest two approaches to the statistical analysis of texts, both based on the study of numerals occurrence in literary texts. The first approach is related to the study of the frequency distribution of various leading digits of numerals occurring in the text. These frequencies are unequal, as the digit 1 is strongly dominating; usually, the incidence of subsequent digits is monotonically decreasing. The frequencies of occurrence of the digit 1, as well as, to a lesser extent, the digits 2 and 3, are usually a characteristic author’s style feature, manifested in all (sufficiently long) literary texts of any author. This approach is convenient for testing whether a group of texts has a common authorship − this is dubious if the frequency distributions are sufficiently different. The second approach is the extension of the first one and requires the study of the frequency distribution of numerals themselves (not their leading digits). The approach yields non-trivial information about the author, stylistic and genre peculiarities of the texts, and is suited for advanced discourse analysis. The proposed approaches are illustrated with examples of computer analysis of the literary texts by Jaroslav Hašek and Karel Vaněk. Frequency distributions of the leading digits of numerals in Hašek’s and Vaněk’s texts markedly differ in appearance. The frequency distribution of numerals themselves, as well as its cluster analysis, confirm the significant style difference in these two authors, despite the fact that Vaněk tried to write in Hašek’s style, and the themes of the narratives are similar. These two methods are complemented by more traditional MFW and MFC analyses, which confirmed the results presented by them.