DocumentCode
2081901
Title
The Research of Multivariate Statistical Process Control Based on EIV Model
Author
Niu Junlei ; Cheng Longsheng
Author_Institution
Sch. of Econ. & Manage., Nanjing Univ. of Sci. & Technol., Nanjing, China
fYear
2009
fDate
20-22 Sept. 2009
Firstpage
1
Lastpage
4
Abstract
This paper develops a new multivariate statistical process control method based on one kind of EIV model. The main idea is to propose a fitted error from EIV model to convert the multi-variable to single variable. Theory and method are discussed. Three examples of multivariate statistical process illustrate the capabilities of the new method. The new control scheme is universal in application but some problems need to be studied further.
Keywords
error analysis; statistical analysis; statistical process control; EIV model; errors-in-variable; fitted error; multivariate statistical process control; Bayesian methods; Control charts; Economic forecasting; Environmental economics; Monitoring; Parameter estimation; Predictive models; Process control; Reactive power; Technology management;
fLanguage
English
Publisher
ieee
Conference_Titel
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4638-4
Electronic_ISBN
978-1-4244-4639-1
Type
conf
DOI
10.1109/ICMSS.2009.5301360
Filename
5301360
Link To Document