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

Patrick E. Brown, Peter J. Diggle, Robin Henderson

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)355-368
Number of pages14
JournalScandinavian Journal of Statistics
Issue number2
StatePublished - Jun 2003
Externally publishedYes


  • Matérn functions
  • Paper formation
  • Poisson cluster process
  • Spectral analysis

ASJC Scopus subject areas

  • Mathematics(all)
  • Statistics and Probability


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