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

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A Non-Gaussian Spatial Process Model for Opacity of Flocculated Paper. / Brown, Patrick E.; Diggle, Peter J.; Henderson, Robin.

In: Scandinavian Journal of Statistics, Vol. 30, No. 2, 06.2003, p. 355-368.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Brown, PE, Diggle, PJ & Henderson, R 2003, 'A Non-Gaussian Spatial Process Model for Opacity of Flocculated Paper.', Scandinavian Journal of Statistics, vol. 30, no. 2, pp. 355-368. https://doi.org/10.1111/1467-9469.00335

APA

Brown, P. E., Diggle, P. J., & Henderson, R. (2003). A Non-Gaussian Spatial Process Model for Opacity of Flocculated Paper. Scandinavian Journal of Statistics, 30(2), 355-368. https://doi.org/10.1111/1467-9469.00335

Vancouver

Brown PE, Diggle PJ, Henderson R. A Non-Gaussian Spatial Process Model for Opacity of Flocculated Paper. Scandinavian Journal of Statistics. 2003 Jun;30(2):355-368. https://doi.org/10.1111/1467-9469.00335

Author

Brown, Patrick E. ; Diggle, Peter J. ; Henderson, Robin. / A Non-Gaussian Spatial Process Model for Opacity of Flocculated Paper. In: Scandinavian Journal of Statistics. 2003 ; Vol. 30, No. 2. pp. 355-368.

Bibtex

@article{d12b6773555c49f3ac553956b360642e,
title = "A Non-Gaussian Spatial Process Model for Opacity of Flocculated Paper.",
abstract = "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.",
author = "Brown, {Patrick E.} and Diggle, {Peter J.} and Robin Henderson",
year = "2003",
month = jun,
doi = "10.1111/1467-9469.00335",
language = "English",
volume = "30",
pages = "355--368",
journal = "Scandinavian Journal of Statistics",
issn = "0303-6898",
publisher = "Blackwell-Wiley",
number = "2",

}

RIS

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 - 0303-6898

IS - 2

ER -