Proceedings of the 2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016)

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A water demand prediction

Authors
Rui Ma
Corresponding Author
Rui Ma
Available Online September 2016.
DOI
10.2991/amitp-16.2016.80How to use a DOI?
Keywords
Water demand, Billings, multiple regression analysis, correlation analysis
Abstract

To figure out water demands of Billings in the future 30 years, some factor which are related to the water demand are selected to predict .Assume there are no extra factors to cause great changes in the predictions, we depict a prediction figure with the data of the GDP, population, and the personal income. Regression analyses are used to make a prediction with curve fitting model.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016)
Series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-245-9
ISSN
2352-538X
DOI
10.2991/amitp-16.2016.80How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Rui Ma
PY  - 2016/09
DA  - 2016/09
TI  - A water demand prediction
BT  - Proceedings of the 2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016)
PB  - Atlantis Press
SP  - 421
EP  - 423
SN  - 2352-538X
UR  - https://doi.org/10.2991/amitp-16.2016.80
DO  - 10.2991/amitp-16.2016.80
ID  - Ma2016/09
ER  -