An investigation into identifying factors and building models for prediction of water usage in regional Australia
Paper
Paper/Presentation Title | An investigation into identifying factors and building models for prediction of water usage in regional Australia |
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Presentation Type | Paper |
Authors | Nooriafshar, Mehryar (Author) and Maraseni, Tek Narayan (Author) |
Editors | Burge, Andrew |
Journal or Proceedings Title | Proceedings of the 5th Annual Hawaii International Conference on Statistics, Mathematics and Related Fields |
Number of Pages | 7 |
Year | 2006 |
Place of Publication | Hawaii, USA |
Web Address (URL) of Paper | http://www.hicstatistics.org/STATS2006.pdf |
Conference/Event | 5th Annual Hawaii International Conference on Statistics, Mathematics and Related Fields |
Event Details | 5th Annual Hawaii International Conference on Statistics, Mathematics and Related Fields Event Date 16 to end of 18 Jan 2006 Event Location Honolulu, Hawaii |
Abstract | This paper is based on a research project with the aim of developing a suitable model for future water consumption in Toowoomba, Queensland, Australia. The project’s main aims were to, systematically, investigate the contributory factors in water usage and then build a mathematical model for prediction and performing sensitivity analysis. Water is without any doubt the most important resource used in farming, industrial and domestic applications. Hence, this project is timely and very appropriate in terms of meeting the needs of the community in and around Toowoomba. The paper demonstrates how the most suitable multiple regression models were built in a progressive manner. For instance, a systematic investigation into the accuracy of models has revealed that by incorporating three dummy variables and using those in conjunction with either the city population or the number of dwellings in the city would produce the most accurate results. These dummy variables represented the presence or absence of tariff, restrictions rebate and dry weather. |
Keywords | consumption; multiple regression; dummy variables |
ANZSRC Field of Research 2020 | 490501. Applied statistics |
401199. Environmental engineering not elsewhere classified | |
400513. Water resources engineering | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | School of Management and Marketing |
Faculty of Business |
https://research.usq.edu.au/item/9z763/an-investigation-into-identifying-factors-and-building-models-for-prediction-of-water-usage-in-regional-australia
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