An Exponential Curve Model and Its Application in Forecasting Private Car Ownership of China. (30th May 2022)
- Record Type:
- Journal Article
- Title:
- An Exponential Curve Model and Its Application in Forecasting Private Car Ownership of China. (30th May 2022)
- Main Title:
- An Exponential Curve Model and Its Application in Forecasting Private Car Ownership of China
- Authors:
- Zuo, Kai
Zuo, Hang
Zhang, Xuege - Other Names:
- Ghareeb A. Academic Editor.
- Abstract:
- Abstract : To solve problems of modeling and prediction of nonstationary sequences caused by deterministic factors in the real world, a new type of exponential curve model with first-order polynomial term is proposed in this paper based on the classical exponential curve model and the modified exponential curve model. According to the characteristics of the new model, the piecewise summation method is adopted to determine the analytical expressions of parameters. Moreover, the model is applied to the ownership of private cars in China. Comparing the calculated results with the classical exponential curve model and the modified exponential curve model, it can be seen that the new exponential curve model has higher accuracy in the analysis of the ownership of private cars in China.
- Is Part Of:
- Journal of mathematics. Volume 2022(2022)
- Journal:
- Journal of mathematics
- Issue:
- Volume 2022(2022)
- Issue Display:
- Volume 2022, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 2022
- Issue:
- 2022
- Issue Sort Value:
- 2022-2022-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-05-30
- Subjects:
- Mathematics -- Periodicals
Mathematics
Periodicals
510 - Journal URLs:
- https://www.hindawi.com/journals/jmath/ ↗
http://bibpurl.oclc.org/web/74492 ↗
http://search.ebscohost.com/direct.asp?db=a9h&jid=%22FV7F%22&scope=site ↗ - DOI:
- 10.1155/2022/6850263 ↗
- Languages:
- English
- ISSNs:
- 2314-4629
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 21852.xml