Christophe Chesneau

The most common method for studying historical data is to use regression methods and predictive modeling on time series data. The parametric methodology for time series data analysis is a customary method when the data are available on a continuous scale. However, most of the time, the data availability may be on a categorical or ordinal scale. Hence, the nonparametric methodology is more rational in handling time series data. This study considers two prominent non-parametric methods, namely Pettitt’s test and Buishand’s range test...