Language in the Line vs. Language in the Mass: On the Efficiency of Sequential Modelling in the Analysis of Rhytm

The subject of the present article is the application of the ARIMA method of time-series analysis and of conventional statistical tests to the study of rhythm in text. The results obtained on the same set of samples with both investigative approaches are then compared. Sequential modelling by means of the ARIMA method turns out to be much more efficient than “mass” statistics.