The Level of Consumption Prediction and Analysis Based on the Grey Prediction Model

DOI

10.2991/icemct-16.2016.292How to use a DOI?

Keywords

Grey Prediction Model; Household Consumption; Model Validation.

Abstract

With statistical forecast becoming more and more mature at home and abroad, the predicting theory and methodology has developed in depth to reach a relatively comprehensive stage. In this paper, a grey prediction model is established and applied in the analysis and prediction of China’s household consumption. As the calculation result of the evaluation instance in this paper indicates, the model proposed is applicable for the analysis and prediction of household consumption with a relatively high accuracy.

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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TY  - CONF
AU  - Xiaoge Li
PY  - 2016/04
DA  - 2016/04
TI  - The Level of Consumption Prediction and Analysis Based on the Grey Prediction Model
BT  - Proceedings of the 2016 International Conference on Education, Management and Computing Technology (ICEMCT-16)
PB  - Atlantis Press
SP  - 1388
EP  - 1391
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemct-16.2016.292
DO  - 10.2991/icemct-16.2016.292
ID  - Li2016/04
ER  -