Univariate DEMR Model – The Formation and Foundation

摘要：

In this paper, we propose and develop a differential equation motivated regression model, abbreviated as DEMR model, which has a random fuzzy error structure for the facilitation of the modeling challenges facing small sample uncertainty, model translation caused misspecification uncertainty, and random sampling uncertainty. Different from common regression models as well as the one-variable first order grey differential equation model, abbreviated as GM(1,1) proposed by Deng (1983), DEMR is established on a rigorous mathematical foundation founded by Liu 4 and expecting to receive a full acceptance in research community.

作者: R. Guo D. Guo

作者单位: the University of Cape Town, Cape Town, South Africa South African National Biodiversity Institute, Cape Town, South Africa

会议类型: 国际会议

会议名称: 2007年IEEE灰色系统与智能服务国际会议(2007 IEEE International Conference on Grey Systems and Intelligent Services)

会议地点: 南京

会议语种:英文

在线出版日期: 2007-11-18（万方平台首次上网日期，不代表论文的发表时间）