Incidence degree could be used to analyse timeseries data in health system. There is little limit about data distribution and type of variable's correlation.
Empirical evidence shows that the majority of contrarian profits in Chinese stock market are due to overreaction while a small part is due to negative correlationof common factor in timeseries.
This paper discusses chaotic characteristic of the power daily load of Sichuan Province based on saturation correlation dimension, and concludes that daily load timeseries belong to chaotic series.