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
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;
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
DOI :
10.1109/ICMSS.2009.5301360
