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A non-Gaussian spatial process model for opacity of flocculated paper

Lookup NU author(s): Professor Robin Henderson

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Abstract

Product quality in the paper-making industry can be assessed by opacity of a linear trace through continuous production sheets, summarized in spectral form. We adopt a class of non-Gaussian stochastic models for continuous spatial variation to describe data of this type. The model has flexible covariance structure, physically interpretable parameters and allows several scales of variation for the underlying process. We derive the spectral properties of the model, and develop methods of parameter estimation based on maximum likelihood in the frequency domain. The methods are illustrated using sample data from a UK mill.


Publication metadata

Author(s): Henderson R; Brown PE; Diggle PJ

Publication type: Article

Publication status: Published

Journal: Scandinavian Journal of Statistics

Year: 2003

Volume: 30

Issue: 2

Pages: 355-368

ISSN (print): 0303-6898

ISSN (electronic): 1467-9469

Publisher: Wiley-Blackwell Publishing Ltd.

URL: http://dx.doi.org/10.1111/1467-9469.00335

DOI: 10.1111/1467-9469.00335


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