Why and how to use vector autoregressive models for quality control: the guideline and procedures

Author:

Pan Xia,Jarrett Jeffrey E.

Publisher

Springer Science and Business Media LLC

Subject

General Social Sciences,Statistics and Probability

Reference31 articles.

1. Akaike H.: Marcovian representation of stochastic processes and its application to the analysis of autoregressive moving average processes. Ann. Inst. Stat. Math. 26, 363–387 (1974)

2. Akaike H.: Canonical correlations analysis of time series and the use of an in formation criterion. In: Mehra, R., Lainotis, D.G. (eds) System Identification: Advances and Case Studies, Academic Press, New York (1976)

3. Alwan B.M., Roberts H.V.: Time-series modeling for detecting level shifts of autocorrelated processes. J. Bus. Econ. Stat. 6, 87–96 (1988)

4. Berthouex P.M., Hunter E., Pallesen L.: Monitoring sewage treatment plants: some quality control aspects. J. Qual. Technol. 10(4), 139–149 (1978)

5. Box G.E.P., Jenkins G.M.:: Time Series Analysis, Forecasting, and Control. Holden-Day, San Francisco (1970)

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