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Statistical modelling of creep rupture data.

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Statistical modelling of creep rupture data. / Davies, R. B.; Hales, R.; Harman, Juliet C. et al.
In: Journal of Engineering Materials and Technology, Vol. 121, No. 3, 1999, p. 264-271.

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

Harvard

Davies, RB, Hales, R, Harman, JC & Holdsworth, SR 1999, 'Statistical modelling of creep rupture data.', Journal of Engineering Materials and Technology, vol. 121, no. 3, pp. 264-271. https://doi.org/10.1115/1.2812374

APA

Davies, R. B., Hales, R., Harman, J. C., & Holdsworth, S. R. (1999). Statistical modelling of creep rupture data. Journal of Engineering Materials and Technology, 121(3), 264-271. https://doi.org/10.1115/1.2812374

Vancouver

Davies RB, Hales R, Harman JC, Holdsworth SR. Statistical modelling of creep rupture data. Journal of Engineering Materials and Technology. 1999;121(3):264-271. doi: 10.1115/1.2812374

Author

Davies, R. B. ; Hales, R. ; Harman, Juliet C. et al. / Statistical modelling of creep rupture data. In: Journal of Engineering Materials and Technology. 1999 ; Vol. 121, No. 3. pp. 264-271.

Bibtex

@article{1272b4ca8e7845babf89ae0275784ba6,
title = "Statistical modelling of creep rupture data.",
abstract = "A flexible statistical modeling framework for the analysis of creep rupture data is proposed, which offers an improvement on traditional methods of deriving creep rupture strength values and confidence limits. The paper reviews a family of models that can be used to represent the trend relationship between failure times about the trend line, and examines the reliability of extrapolations. Areas of statistical research which would lead to model improvement are discussed, such as variance heterogeneity, left censoring and allowance for the cluster (cast) structure of the data.",
author = "Davies, {R. B.} and R. Hales and Harman, {Juliet C.} and Holdsworth, {S. R.}",
year = "1999",
doi = "10.1115/1.2812374",
language = "English",
volume = "121",
pages = "264--271",
journal = "Journal of Engineering Materials and Technology",
issn = "0094-4289",
publisher = "American Society of Mechanical Engineers(ASME)",
number = "3",

}

RIS

TY - JOUR

T1 - Statistical modelling of creep rupture data.

AU - Davies, R. B.

AU - Hales, R.

AU - Harman, Juliet C.

AU - Holdsworth, S. R.

PY - 1999

Y1 - 1999

N2 - A flexible statistical modeling framework for the analysis of creep rupture data is proposed, which offers an improvement on traditional methods of deriving creep rupture strength values and confidence limits. The paper reviews a family of models that can be used to represent the trend relationship between failure times about the trend line, and examines the reliability of extrapolations. Areas of statistical research which would lead to model improvement are discussed, such as variance heterogeneity, left censoring and allowance for the cluster (cast) structure of the data.

AB - A flexible statistical modeling framework for the analysis of creep rupture data is proposed, which offers an improvement on traditional methods of deriving creep rupture strength values and confidence limits. The paper reviews a family of models that can be used to represent the trend relationship between failure times about the trend line, and examines the reliability of extrapolations. Areas of statistical research which would lead to model improvement are discussed, such as variance heterogeneity, left censoring and allowance for the cluster (cast) structure of the data.

U2 - 10.1115/1.2812374

DO - 10.1115/1.2812374

M3 - Journal article

VL - 121

SP - 264

EP - 271

JO - Journal of Engineering Materials and Technology

JF - Journal of Engineering Materials and Technology

SN - 0094-4289

IS - 3

ER -