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Parameter estimation in a stationary autoregressive process with correlated multiple observations

✍ Scribed by S. Sethuraman; I.V. Basawa

Publisher: Elsevier Science
Year: 1994
Tongue: English
Weight: 758 KB
Volume: 39
Category: Article
ISSN: 0378-3758
DOI: 10.1016/0378-3758(94)90203-8

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## Abstract **Summary:** As our understanding of chemical processes increases, the complexity of the models developed to describe them also increases. In most cases the equations are nonlinear in the inputs and parameters, and must be solved numerically. At present in estimating parameters for larg