no code implementations • 13 Oct 2020 • Giacomo Aletti, Irene Crimaldi
We apply the proposed test to a data set of Twitter posts about COVID-19 pandemic: in a few words, for a classical chi-squared test the data result strongly significant for the rejection of the null hypothesis (the daily long-run sentiment rate remains constant), but, taking into account the correlation among data, the introduced test leads to a different conclusion.
Statistics Theory Probability Applications Methodology Statistics Theory 60F05, 60F15, 62F03 (Primary) 62F05, 62L20 (Secondary)
