Reversible jump MCMC for volumetric calibration.

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Reversible jump MCMC for volumetric calibration. / Henderson, Robin; Morton-Jones, Anthony J.; Mcknespiey, Paul.
In: Journal of the Royal Statistical Society: Series C (Applied Statistics), Vol. 49, No. 4, 2000, p. 563-575.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Henderson, R, Morton-Jones, AJ & Mcknespiey, P 2000, 'Reversible jump MCMC for volumetric calibration.', Journal of the Royal Statistical Society: Series C (Applied Statistics), vol. 49, no. 4, pp. 563-575. https://doi.org/10.1111/1467-9876.00212

APA

Henderson, R., Morton-Jones, A. J., & Mcknespiey, P. (2000). Reversible jump MCMC for volumetric calibration. Journal of the Royal Statistical Society: Series C (Applied Statistics), 49(4), 563-575. https://doi.org/10.1111/1467-9876.00212

Vancouver

Henderson R, Morton-Jones AJ, Mcknespiey P. Reversible jump MCMC for volumetric calibration. Journal of the Royal Statistical Society: Series C (Applied Statistics). 2000;49(4):563-575. doi: 10.1111/1467-9876.00212

Author

Henderson, Robin ; Morton-Jones, Anthony J. ; Mcknespiey, Paul. / Reversible jump MCMC for volumetric calibration. In: Journal of the Royal Statistical Society: Series C (Applied Statistics). 2000 ; Vol. 49, No. 4. pp. 563-575.

Bibtex

@article{3447d73f79244a8484bd772b0ae2cf2b,

title = "Reversible jump MCMC for volumetric calibration.",

abstract = "Volumetric calibration is used for high accuracy estimation of the functional volume-to-level relationship for vessels used to store hazardous liquids. An example of calibration of a vessel for reprocessed nuclear material is used to illustrate an analysis of calibration data. We advocate a Bayesian approach, with proper account of genuine prior information, using a reversible jump Markov chain Monte Carlo method for estimation.",

keywords = "Computer-intensive inference • Errors in variables • Material accountancy • Regression",

author = "Robin Henderson and Morton-Jones, {Anthony J.} and Paul Mcknespiey",

year = "2000",

doi = "10.1111/1467-9876.00212",

language = "English",

volume = "49",

pages = "563--575",

journal = "Journal of the Royal Statistical Society: Series C (Applied Statistics)",

issn = "0035-9254",

publisher = "Wiley-Blackwell",

number = "4",

}

RIS

TY - JOUR

T1 - Reversible jump MCMC for volumetric calibration.

AU - Henderson, Robin

AU - Morton-Jones, Anthony J.

AU - Mcknespiey, Paul

PY - 2000

Y1 - 2000

N2 - Volumetric calibration is used for high accuracy estimation of the functional volume-to-level relationship for vessels used to store hazardous liquids. An example of calibration of a vessel for reprocessed nuclear material is used to illustrate an analysis of calibration data. We advocate a Bayesian approach, with proper account of genuine prior information, using a reversible jump Markov chain Monte Carlo method for estimation.

AB - Volumetric calibration is used for high accuracy estimation of the functional volume-to-level relationship for vessels used to store hazardous liquids. An example of calibration of a vessel for reprocessed nuclear material is used to illustrate an analysis of calibration data. We advocate a Bayesian approach, with proper account of genuine prior information, using a reversible jump Markov chain Monte Carlo method for estimation.

KW - Computer-intensive inference • Errors in variables • Material accountancy • Regression

U2 - 10.1111/1467-9876.00212

DO - 10.1111/1467-9876.00212

M3 - Journal article

VL - 49

SP - 563

EP - 575

JO - Journal of the Royal Statistical Society: Series C (Applied Statistics)

JF - Journal of the Royal Statistical Society: Series C (Applied Statistics)

SN - 0035-9254

IS - 4

ER -

Research

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