Preference threshold procedure for statistical selection : robustness against deviations from normality

J.H.M. Verheijen, F.P.A. Coolen, P. Laan, van der

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

In this paper we investigate the robustness of the preference threshold procedure introduced by Verheijen Coolen and Van der Laan with respect to deviations from the normality assumption. The preference threshold procedure is a combination of the standard indifference zone selection and the subset selection the two standard approaches for statistical selection In a number of simulation studies the preference threshold procedure is applied on populations coming from Normal Logistic Laplace Weibull Gamma and Lognormal distributions. We compare the results on basis of the observed number of correct selections.
Original languageEnglish
Pages (from-to)151-168
JournalCultivar Testing Bulletin
Volume30
Publication statusPublished - 1999

Fingerprint

Normality
Deviation
Robustness
Indifference Zone
Subset Selection
Log Normal Distribution
Gamma distribution
Weibull Distribution
Laplace
Logistics
Simulation Study
Standards

Cite this

Verheijen, J.H.M. ; Coolen, F.P.A. ; Laan, van der, P. / Preference threshold procedure for statistical selection : robustness against deviations from normality. In: Cultivar Testing Bulletin. 1999 ; Vol. 30. pp. 151-168.
@article{7511d8a0365f464d89ac12cfb8e7bcc6,
title = "Preference threshold procedure for statistical selection : robustness against deviations from normality",
abstract = "In this paper we investigate the robustness of the preference threshold procedure introduced by Verheijen Coolen and Van der Laan with respect to deviations from the normality assumption. The preference threshold procedure is a combination of the standard indifference zone selection and the subset selection the two standard approaches for statistical selection In a number of simulation studies the preference threshold procedure is applied on populations coming from Normal Logistic Laplace Weibull Gamma and Lognormal distributions. We compare the results on basis of the observed number of correct selections.",
author = "J.H.M. Verheijen and F.P.A. Coolen and {Laan, van der}, P.",
year = "1999",
language = "English",
volume = "30",
pages = "151--168",
journal = "Cultivar Testing Bulletin",
issn = "0137-155X",
publisher = "Słupia Wielka",

}

Preference threshold procedure for statistical selection : robustness against deviations from normality. / Verheijen, J.H.M.; Coolen, F.P.A.; Laan, van der, P.

In: Cultivar Testing Bulletin, Vol. 30, 1999, p. 151-168.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Preference threshold procedure for statistical selection : robustness against deviations from normality

AU - Verheijen, J.H.M.

AU - Coolen, F.P.A.

AU - Laan, van der, P.

PY - 1999

Y1 - 1999

N2 - In this paper we investigate the robustness of the preference threshold procedure introduced by Verheijen Coolen and Van der Laan with respect to deviations from the normality assumption. The preference threshold procedure is a combination of the standard indifference zone selection and the subset selection the two standard approaches for statistical selection In a number of simulation studies the preference threshold procedure is applied on populations coming from Normal Logistic Laplace Weibull Gamma and Lognormal distributions. We compare the results on basis of the observed number of correct selections.

AB - In this paper we investigate the robustness of the preference threshold procedure introduced by Verheijen Coolen and Van der Laan with respect to deviations from the normality assumption. The preference threshold procedure is a combination of the standard indifference zone selection and the subset selection the two standard approaches for statistical selection In a number of simulation studies the preference threshold procedure is applied on populations coming from Normal Logistic Laplace Weibull Gamma and Lognormal distributions. We compare the results on basis of the observed number of correct selections.

M3 - Article

VL - 30

SP - 151

EP - 168

JO - Cultivar Testing Bulletin

JF - Cultivar Testing Bulletin

SN - 0137-155X

ER -