Establishment and realization of precipitation forecast models based on regression analysis and time series analysis. (Chinese. English summary) Zbl 1113.62140
Summary: Based on the analysis of uncertainty and randomness of precipitation sequences, this paper shows a method to establish a precipitation forecast model based on regression and time series analysis. Based on the separation of tendency, periodic components and randomness of precipitation sequences, the paper gives a way to calculate the model with a program based on Fortran MATLAB language. At last, the paper proves the practicability and feasibility of the method with a case study.
MSC:
62P12 | Applications of statistics to environmental and related topics |
62M20 | Inference from stochastic processes and prediction |
62M10 | Time series, auto-correlation, regression, etc. in statistics (GARCH) |