Title :
Sichuan Province service industry development forecast - based on ARIMA model
Author :
Haoyun, Zhu ; Xu, Chen
Author_Institution :
Sch. of Manage. & Econ., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
In order to better grasp the development trend and study the development path of service industry, this paper built ARIMA forecasting mode based on related statistical data from 1978 to 2008 to predict the service industry development of Sichuan Province, and analyze the forecast results.
Keywords :
autoregressive moving average processes; forecasting theory; service industries; time series; ARIMA forecasting model; Sichuan province; autoregressive integrated moving average; service industry development; statistical data; Analytical models; Biological system modeling; Data models; Educational institutions; Predictive models; ARIMA model; predict method; service industry of Sichuan development trend;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5620594
