A Comparative Study and Analysis of Time Series Forecasting Techniques-Reference-Cited by-同舟云学术

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A Comparative Study and Analysis of Time Series Forecasting Techniques

Published:2020-05 Issue:3 Volume:1 Page:
ISSN:2662-995X
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Athiyarath Srihari,Paul Mousumi^ORCID,Krishnaswamy Srivatsa

Funder

Vigyanlabs Innovations Private Limited

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s42979-020-00180-5.pdf

Reference18 articles.

1. Seber GAF, Lee AJ. Linear regression analysis. Wiley series in probability and statistics. New York: Wiley; 2012.

2. Song Q, Leland RP, Chissom BS. A new fuzzy time-series model of fuzzy number observations. Fuzzy Sets Syst. 1995;73(3):341–8.

3. Box GEP, Jenkins G. Time series analysis, forecasting and control. San Francisco: Holden-Day; 1970.

4. Cochrane JH. Time series for macroeconomics and finance. Chicago: Graduate School of Business, University of Chicago; 1997.

5. Hipel KW, McLeod AI. Time series modelling of water resources and environmental systems. Amsterdam: Elsevier; 1994.

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