ScholarLens Back to search
2010•Journal of Jilin Institute of Chemical TechnologyRequires access

Application of the ARIMA model in time series analysis

Xue Dong-mei

Open publisher page 5 citations

Abstract

ARIMAmodel is a kind of time series prediction model which possesses high precision.Based on the econometrics software Eviwes5.0 and total social investment in fixed assets data of Jilin Province in 1980-2005,the economic model ARIMA(3,1,2) is established to perform the prediction analysis on the total social investment in fixed assets of Jilin Province in the future.It is a good solution to the modeling for non-stationary time series.

About this research paper

What this paper is about

ARIMAmodel is a kind of time series prediction model which possesses high precision.Based on the econometrics software Eviwes5.0 and total social investment in fixed assets data of Jilin Province in 1980-2005,the economic model ARIMA(3,1,2) is established to perform the prediction analysis on the total social investment in fixed assets of Jilin Province in the future.It is a good solution to the modeling for non-stationary time series.

Why it matters

OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

ARIMAmodel is a kind of time series prediction model which possesses high precision.Based on the econometrics software Eviwes5.0 and total social investment in fixed assets data of Jilin Province in 1980-2005,the economic model ARIMA(3,1,2) is established to perform the prediction analysis on the total social investment in fixed assets of Jilin Province in the future.It is a good solution to the modeling for non-stationary time series.

Key concepts: Autoregressive integrated moving average, Time series, Series (stratigraphy), Investment (military), Fixed asset, Econometrics, Computer science, Economics

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Application of the ARIMA model in time series analysis — Research Paper | ScholarLens