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Extremal analysis of short series with out-liers: sea-levels and athletic records.

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Extremal analysis of short series with out-liers: sea-levels and athletic records. / Barão, I; Tawn, J. A.
In: Journal of the Royal Statistical Society: Series C (Applied Statistics), Vol. 48, No. 4, 1999, p. 469-487.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Barão, I & Tawn, JA 1999, 'Extremal analysis of short series with out-liers: sea-levels and athletic records.', Journal of the Royal Statistical Society: Series C (Applied Statistics), vol. 48, no. 4, pp. 469-487. https://doi.org/10.1111/1467-9876.00166

APA

Barão, I., & Tawn, J. A. (1999). Extremal analysis of short series with out-liers: sea-levels and athletic records. Journal of the Royal Statistical Society: Series C (Applied Statistics), 48(4), 469-487. https://doi.org/10.1111/1467-9876.00166

Vancouver

Barão I, Tawn JA. Extremal analysis of short series with out-liers: sea-levels and athletic records. Journal of the Royal Statistical Society: Series C (Applied Statistics). 1999;48(4):469-487. doi: 10.1111/1467-9876.00166

Author

Barão, I ; Tawn, J. A. / Extremal analysis of short series with out-liers: sea-levels and athletic records. In: Journal of the Royal Statistical Society: Series C (Applied Statistics). 1999 ; Vol. 48, No. 4. pp. 469-487.

Bibtex

@article{7b44eb64ea7a45f9809dcb2fbcd0340b,
title = "Extremal analysis of short series with out-liers: sea-levels and athletic records.",
abstract = "The analysis of extreme values is often required from short series which are biasedly sampled or contain outliers. Data for sea-levels at two UK east coast sites and data on athletics records for women's 3000 m track races are shown to exhibit such characteristics. Univariate extreme value methods provide a poor quantification of the extreme values for these data. By using bivariate extreme value methods we analyse jointly these data with related observations, from neighbouring coastal sites and 1500 m races respectively. We show that using bivariate methods provides substantial benefits, both in these applications and more generally with the amount of information gained being determined by the degree of dependence, the lengths and the amount of overlap of the two series, the homogeneity of the marginal characteristics of the variables and the presence and type of the outlier.",
keywords = "Athletics records • Bivariate extreme value distributions • Dependence • Extreme value theory • Generalized extreme value distribution • Maximum likelihood estimation • Outliers • Sea-levels",
author = "I Bar{\~a}o and Tawn, {J. A.}",
year = "1999",
doi = "10.1111/1467-9876.00166",
language = "English",
volume = "48",
pages = "469--487",
journal = "Journal of the Royal Statistical Society: Series C (Applied Statistics)",
issn = "0035-9254",
publisher = "Wiley-Blackwell",
number = "4",

}

RIS

TY - JOUR

T1 - Extremal analysis of short series with out-liers: sea-levels and athletic records.

AU - Barão, I

AU - Tawn, J. A.

PY - 1999

Y1 - 1999

N2 - The analysis of extreme values is often required from short series which are biasedly sampled or contain outliers. Data for sea-levels at two UK east coast sites and data on athletics records for women's 3000 m track races are shown to exhibit such characteristics. Univariate extreme value methods provide a poor quantification of the extreme values for these data. By using bivariate extreme value methods we analyse jointly these data with related observations, from neighbouring coastal sites and 1500 m races respectively. We show that using bivariate methods provides substantial benefits, both in these applications and more generally with the amount of information gained being determined by the degree of dependence, the lengths and the amount of overlap of the two series, the homogeneity of the marginal characteristics of the variables and the presence and type of the outlier.

AB - The analysis of extreme values is often required from short series which are biasedly sampled or contain outliers. Data for sea-levels at two UK east coast sites and data on athletics records for women's 3000 m track races are shown to exhibit such characteristics. Univariate extreme value methods provide a poor quantification of the extreme values for these data. By using bivariate extreme value methods we analyse jointly these data with related observations, from neighbouring coastal sites and 1500 m races respectively. We show that using bivariate methods provides substantial benefits, both in these applications and more generally with the amount of information gained being determined by the degree of dependence, the lengths and the amount of overlap of the two series, the homogeneity of the marginal characteristics of the variables and the presence and type of the outlier.

KW - Athletics records • Bivariate extreme value distributions • Dependence • Extreme value theory • Generalized extreme value distribution • Maximum likelihood estimation • Outliers • Sea-levels

U2 - 10.1111/1467-9876.00166

DO - 10.1111/1467-9876.00166

M3 - Journal article

VL - 48

SP - 469

EP - 487

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 -