Applying the methods of processing approximate entropy and information entropy in the process of returns time series in stock market,several relative aspects charateristics about the main stock market index are obtained.

Cao s method is employed in this article to make sure the monthly return series of Chinese Stock Market is chaotic but daily return series and weekly return series were found noisy.

Hybrid time series predictive control model for silicon content in blast furnace hot metal;

A new approach to trend extrapolation of time series of ecological footprint and its application;

Fractal characteristics and R/S analysis of time series of natural hazards;

A time-series study on the association of stroke mortality and air pollution in Zhabei District, Shanghai;

A Time-series Study on the Relationship Between Gaseous Air Pollutants and Daily Mortality in Shanghai;

Online Heuristic Algorithm of Representation for Time-series Based on Polygonal Boundary Reduction;

Apply time sequence model to predict and control spinning tension;

Process of laser gyro drift data base on time sequence model;

Study on information mergence of road construction machinery group based on time sequence;

Real Time Outliers Detection Based on Kalman Filter and Time Serial;

From analysis of depositing dust's data in Qinhuangdao Port by time serial,the longterm tendency and season variation of coal dust pollution is obtained.

Secondly, annual flooding duration days are used to rebuild the flood time serials of ten large drainage basins in China.