Home > Research > Publications & Outputs > A two-sample model for the comparison of radiat...
View graph of relations

A two-sample model for the comparison of radiation doses

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

A two-sample model for the comparison of radiation doses. / Fokianos, K.; Sarrou, I.; Pashalidis, I.
In: Chemometrics and Intelligent Laboratory Systems, Vol. 79, No. 1-2, 10.2005, p. 1-9.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Fokianos, K, Sarrou, I & Pashalidis, I 2005, 'A two-sample model for the comparison of radiation doses', Chemometrics and Intelligent Laboratory Systems, vol. 79, no. 1-2, pp. 1-9. https://doi.org/10.1016/j.chemolab.2005.02.003

APA

Fokianos, K., Sarrou, I., & Pashalidis, I. (2005). A two-sample model for the comparison of radiation doses. Chemometrics and Intelligent Laboratory Systems, 79(1-2), 1-9. https://doi.org/10.1016/j.chemolab.2005.02.003

Vancouver

Fokianos K, Sarrou I, Pashalidis I. A two-sample model for the comparison of radiation doses. Chemometrics and Intelligent Laboratory Systems. 2005 Oct;79(1-2):1-9. Epub 2005 May 11. doi: 10.1016/j.chemolab.2005.02.003

Author

Fokianos, K. ; Sarrou, I. ; Pashalidis, I. / A two-sample model for the comparison of radiation doses. In: Chemometrics and Intelligent Laboratory Systems. 2005 ; Vol. 79, No. 1-2. pp. 1-9.

Bibtex

@article{8a2a8c78b4bb41fe9bf34c586f61a049,
title = "A two-sample model for the comparison of radiation doses",
abstract = "The t-test is one of the most well known parametric statistical procedures that can be applied to the problem of two-sample comparison. However, it relies on several assumptions that might not be satisfied in practice and therefore alternative methods are called for. The contribution of this article is to present a relatively new technique for the comparison of two samples in the context of semiparametric statistical inference and apply the new method to the comparison of external radiation doses in the region of Cyprus. Accordingly, without specifying the parametric form of the distribution of the two samples, it is assumed that their log likelihood ratio is linear in some parameters. This in turn leads to empirical likelihood estimation and comparison. Real data analysis shows that the external dose rate does not vary upon the type of rock formation—a fact which does not hold for the terrestrial radiation.",
keywords = "External doses, Terrestrial radiation, Empirical likelihood, Density ratio model, Test, Power",
author = "K. Fokianos and I. Sarrou and I. Pashalidis",
year = "2005",
month = oct,
doi = "10.1016/j.chemolab.2005.02.003",
language = "English",
volume = "79",
pages = "1--9",
journal = "Chemometrics and Intelligent Laboratory Systems",
issn = "0169-7439",
publisher = "Elsevier",
number = "1-2",

}

RIS

TY - JOUR

T1 - A two-sample model for the comparison of radiation doses

AU - Fokianos, K.

AU - Sarrou, I.

AU - Pashalidis, I.

PY - 2005/10

Y1 - 2005/10

N2 - The t-test is one of the most well known parametric statistical procedures that can be applied to the problem of two-sample comparison. However, it relies on several assumptions that might not be satisfied in practice and therefore alternative methods are called for. The contribution of this article is to present a relatively new technique for the comparison of two samples in the context of semiparametric statistical inference and apply the new method to the comparison of external radiation doses in the region of Cyprus. Accordingly, without specifying the parametric form of the distribution of the two samples, it is assumed that their log likelihood ratio is linear in some parameters. This in turn leads to empirical likelihood estimation and comparison. Real data analysis shows that the external dose rate does not vary upon the type of rock formation—a fact which does not hold for the terrestrial radiation.

AB - The t-test is one of the most well known parametric statistical procedures that can be applied to the problem of two-sample comparison. However, it relies on several assumptions that might not be satisfied in practice and therefore alternative methods are called for. The contribution of this article is to present a relatively new technique for the comparison of two samples in the context of semiparametric statistical inference and apply the new method to the comparison of external radiation doses in the region of Cyprus. Accordingly, without specifying the parametric form of the distribution of the two samples, it is assumed that their log likelihood ratio is linear in some parameters. This in turn leads to empirical likelihood estimation and comparison. Real data analysis shows that the external dose rate does not vary upon the type of rock formation—a fact which does not hold for the terrestrial radiation.

KW - External doses

KW - Terrestrial radiation

KW - Empirical likelihood

KW - Density ratio model

KW - Test

KW - Power

U2 - 10.1016/j.chemolab.2005.02.003

DO - 10.1016/j.chemolab.2005.02.003

M3 - Journal article

VL - 79

SP - 1

EP - 9

JO - Chemometrics and Intelligent Laboratory Systems

JF - Chemometrics and Intelligent Laboratory Systems

SN - 0169-7439

IS - 1-2

ER -