Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - A Non-Gaussian Spatial Process Model for Opacity of Flocculated Paper.
AU - Brown, Patrick E.
AU - Diggle, Peter J.
AU - Henderson, Robin
PY - 2003/6
Y1 - 2003/6
N2 - 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.
AB - 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.
U2 - 10.1111/1467-9469.00335
DO - 10.1111/1467-9469.00335
M3 - Journal article
VL - 30
SP - 355
EP - 368
JO - Scandinavian Journal of Statistics
JF - Scandinavian Journal of Statistics
SN - 1467-9469
IS - 2
ER -