Title :
Study on Pre-estimating Sale Volume of Petroleum Products in Gas Station Based on Time Sequence
Author :
Pu, Zhong ; Lin, Zi-yin ; Yang, Hui
Abstract :
It is an important measure for improving the level of controlling the stock of petroleum products in a gas station by conducting a precise pre-estimation of the sale volume of the petroleum products in the gas station. This paper provides a variable weight combined model for conducting reasonable pre-estimation of the sale volume of the petroleum products in a gas station. Empirical simulation proves that this model is better than those simple pre-estimation methods both in sample and out of sample, indicating that this variable weight combined model is a petroleum product sale volume pre-estimation model that has higher precision and certain practical value.
Keywords :
Data models; Estimation; Fitting; Marketing and sales; Petroleum; Predictive models; Solid modeling; Combined model; Petroleum products; Pre-estimation; Sales volume;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2011 International Conference on
Conference_Location :
Chengdu, China
Print_ISBN :
978-1-4577-1540-2
DOI :
10.1109/ICCIS.2011.266