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A Non-Gaussian Spatial Process Model for Opacity of Flocculated Paper.

Research output: Contribution to journalJournal articlepeer-review

<mark>Journal publication date</mark>06/2003
<mark>Journal</mark>Scandinavian Journal of Statistics
Issue number2
Number of pages14
Pages (from-to)355-368
Publication StatusPublished
<mark>Original language</mark>English


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.