COMPARISON OF PARAMETRIC TAIL ESTIMATORS FOR LOW-FLOW FREQUENCY ANALYSIS
: In recent years, several approaches to hydrologic frequency analysis have been proposed that enable one to direct attention to that portion of an overall probability distribution that is of greatest interest. The majority of the studies have focused on the upper tail of a distribution for flood an...
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| Autor*in: |
Durrans, S. Rocky. [verfasserIn] Tomic, Sasa [verfasserIn] |
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| Format: |
E-Artikel |
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| Erschienen: |
Oxford, UK: Blackwell Publishing Ltd ; 2001 |
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| Umfang: |
Online-Ressource |
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| Reproduktion: |
2007 ; Blackwell Publishing Journal Backfiles 1879-2005 |
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| Übergeordnetes Werk: |
In: Journal of the American Water Resources Association - American Water Resources Association ; GKD-ID: 11654, Middleburg VA : Assoc., 1967, 37(2001), 5, Seite 0 |
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volume:37 ; year:2001 ; number:5 ; pages:0 |
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| DOI / URN: |
10.1111/j.1752-1688.2001.tb03632.x |
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| 520 | |a : In recent years, several approaches to hydrologic frequency analysis have been proposed that enable one to direct attention to that portion of an overall probability distribution that is of greatest interest. The majority of the studies have focused on the upper tail of a distribution for flood analyses, though the same ideas can be applied to low flows. This paper presents an evaluation of the performances of five different estimation methods that place an emphasis on fitting the lower tail of the lognormal distribution for estimation of the ten-year low-flow quantile. The methods compared include distributional truncation, MLE treatment of censored data, partial probability weighted moments, LL-moments, and expected moments. It is concluded that while there are some differences among the alternative methods in terms of their biases and root mean square errors, no one method consistently performs better than the others, particularly with recognition that the underlying population distribution is unknown. Therefore, it seems perfectly legitimate to make a selection of a method on the basis other criteria, such as ease of use. It is also shown in this paper that the five alternative methods can perform about as well as, if not better than, an estimation strategy involving fitting the complete lognormal distribution using L-moments. | ||
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10.1111/j.1752-1688.2001.tb03632.x doi (DE-627)NLEJ243376359 DE-627 ger DE-627 rakwb Durrans, S. Rocky. verfasserin aut COMPARISON OF PARAMETRIC TAIL ESTIMATORS FOR LOW-FLOW FREQUENCY ANALYSIS Oxford, UK Blackwell Publishing Ltd 2001 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier : In recent years, several approaches to hydrologic frequency analysis have been proposed that enable one to direct attention to that portion of an overall probability distribution that is of greatest interest. The majority of the studies have focused on the upper tail of a distribution for flood analyses, though the same ideas can be applied to low flows. This paper presents an evaluation of the performances of five different estimation methods that place an emphasis on fitting the lower tail of the lognormal distribution for estimation of the ten-year low-flow quantile. The methods compared include distributional truncation, MLE treatment of censored data, partial probability weighted moments, LL-moments, and expected moments. It is concluded that while there are some differences among the alternative methods in terms of their biases and root mean square errors, no one method consistently performs better than the others, particularly with recognition that the underlying population distribution is unknown. Therefore, it seems perfectly legitimate to make a selection of a method on the basis other criteria, such as ease of use. It is also shown in this paper that the five alternative methods can perform about as well as, if not better than, an estimation strategy involving fitting the complete lognormal distribution using L-moments. 2007 Blackwell Publishing Journal Backfiles 1879-2005 |2007|||||||||| modeling/statistics Tomic, Sasa verfasserin aut In American Water Resources Association ; GKD-ID: 11654 Journal of the American Water Resources Association Middleburg VA : Assoc., 1967 37(2001), 5, Seite 0 Online-Ressource (DE-627)NLEJ243927428 (DE-600)2090051-X 1752-1688 nnns volume:37 year:2001 number:5 pages:0 http://dx.doi.org/10.1111/j.1752-1688.2001.tb03632.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 37 2001 5 0 |
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10.1111/j.1752-1688.2001.tb03632.x doi (DE-627)NLEJ243376359 DE-627 ger DE-627 rakwb Durrans, S. Rocky. verfasserin aut COMPARISON OF PARAMETRIC TAIL ESTIMATORS FOR LOW-FLOW FREQUENCY ANALYSIS Oxford, UK Blackwell Publishing Ltd 2001 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier : In recent years, several approaches to hydrologic frequency analysis have been proposed that enable one to direct attention to that portion of an overall probability distribution that is of greatest interest. The majority of the studies have focused on the upper tail of a distribution for flood analyses, though the same ideas can be applied to low flows. This paper presents an evaluation of the performances of five different estimation methods that place an emphasis on fitting the lower tail of the lognormal distribution for estimation of the ten-year low-flow quantile. The methods compared include distributional truncation, MLE treatment of censored data, partial probability weighted moments, LL-moments, and expected moments. It is concluded that while there are some differences among the alternative methods in terms of their biases and root mean square errors, no one method consistently performs better than the others, particularly with recognition that the underlying population distribution is unknown. Therefore, it seems perfectly legitimate to make a selection of a method on the basis other criteria, such as ease of use. It is also shown in this paper that the five alternative methods can perform about as well as, if not better than, an estimation strategy involving fitting the complete lognormal distribution using L-moments. 2007 Blackwell Publishing Journal Backfiles 1879-2005 |2007|||||||||| modeling/statistics Tomic, Sasa verfasserin aut In American Water Resources Association ; GKD-ID: 11654 Journal of the American Water Resources Association Middleburg VA : Assoc., 1967 37(2001), 5, Seite 0 Online-Ressource (DE-627)NLEJ243927428 (DE-600)2090051-X 1752-1688 nnns volume:37 year:2001 number:5 pages:0 http://dx.doi.org/10.1111/j.1752-1688.2001.tb03632.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 37 2001 5 0 |
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10.1111/j.1752-1688.2001.tb03632.x doi (DE-627)NLEJ243376359 DE-627 ger DE-627 rakwb Durrans, S. Rocky. verfasserin aut COMPARISON OF PARAMETRIC TAIL ESTIMATORS FOR LOW-FLOW FREQUENCY ANALYSIS Oxford, UK Blackwell Publishing Ltd 2001 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier : In recent years, several approaches to hydrologic frequency analysis have been proposed that enable one to direct attention to that portion of an overall probability distribution that is of greatest interest. The majority of the studies have focused on the upper tail of a distribution for flood analyses, though the same ideas can be applied to low flows. This paper presents an evaluation of the performances of five different estimation methods that place an emphasis on fitting the lower tail of the lognormal distribution for estimation of the ten-year low-flow quantile. The methods compared include distributional truncation, MLE treatment of censored data, partial probability weighted moments, LL-moments, and expected moments. It is concluded that while there are some differences among the alternative methods in terms of their biases and root mean square errors, no one method consistently performs better than the others, particularly with recognition that the underlying population distribution is unknown. Therefore, it seems perfectly legitimate to make a selection of a method on the basis other criteria, such as ease of use. It is also shown in this paper that the five alternative methods can perform about as well as, if not better than, an estimation strategy involving fitting the complete lognormal distribution using L-moments. 2007 Blackwell Publishing Journal Backfiles 1879-2005 |2007|||||||||| modeling/statistics Tomic, Sasa verfasserin aut In American Water Resources Association ; GKD-ID: 11654 Journal of the American Water Resources Association Middleburg VA : Assoc., 1967 37(2001), 5, Seite 0 Online-Ressource (DE-627)NLEJ243927428 (DE-600)2090051-X 1752-1688 nnns volume:37 year:2001 number:5 pages:0 http://dx.doi.org/10.1111/j.1752-1688.2001.tb03632.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 37 2001 5 0 |
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10.1111/j.1752-1688.2001.tb03632.x doi (DE-627)NLEJ243376359 DE-627 ger DE-627 rakwb Durrans, S. Rocky. verfasserin aut COMPARISON OF PARAMETRIC TAIL ESTIMATORS FOR LOW-FLOW FREQUENCY ANALYSIS Oxford, UK Blackwell Publishing Ltd 2001 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier : In recent years, several approaches to hydrologic frequency analysis have been proposed that enable one to direct attention to that portion of an overall probability distribution that is of greatest interest. The majority of the studies have focused on the upper tail of a distribution for flood analyses, though the same ideas can be applied to low flows. This paper presents an evaluation of the performances of five different estimation methods that place an emphasis on fitting the lower tail of the lognormal distribution for estimation of the ten-year low-flow quantile. The methods compared include distributional truncation, MLE treatment of censored data, partial probability weighted moments, LL-moments, and expected moments. It is concluded that while there are some differences among the alternative methods in terms of their biases and root mean square errors, no one method consistently performs better than the others, particularly with recognition that the underlying population distribution is unknown. Therefore, it seems perfectly legitimate to make a selection of a method on the basis other criteria, such as ease of use. It is also shown in this paper that the five alternative methods can perform about as well as, if not better than, an estimation strategy involving fitting the complete lognormal distribution using L-moments. 2007 Blackwell Publishing Journal Backfiles 1879-2005 |2007|||||||||| modeling/statistics Tomic, Sasa verfasserin aut In American Water Resources Association ; GKD-ID: 11654 Journal of the American Water Resources Association Middleburg VA : Assoc., 1967 37(2001), 5, Seite 0 Online-Ressource (DE-627)NLEJ243927428 (DE-600)2090051-X 1752-1688 nnns volume:37 year:2001 number:5 pages:0 http://dx.doi.org/10.1111/j.1752-1688.2001.tb03632.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 37 2001 5 0 |
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10.1111/j.1752-1688.2001.tb03632.x doi (DE-627)NLEJ243376359 DE-627 ger DE-627 rakwb Durrans, S. Rocky. verfasserin aut COMPARISON OF PARAMETRIC TAIL ESTIMATORS FOR LOW-FLOW FREQUENCY ANALYSIS Oxford, UK Blackwell Publishing Ltd 2001 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier : In recent years, several approaches to hydrologic frequency analysis have been proposed that enable one to direct attention to that portion of an overall probability distribution that is of greatest interest. The majority of the studies have focused on the upper tail of a distribution for flood analyses, though the same ideas can be applied to low flows. This paper presents an evaluation of the performances of five different estimation methods that place an emphasis on fitting the lower tail of the lognormal distribution for estimation of the ten-year low-flow quantile. The methods compared include distributional truncation, MLE treatment of censored data, partial probability weighted moments, LL-moments, and expected moments. It is concluded that while there are some differences among the alternative methods in terms of their biases and root mean square errors, no one method consistently performs better than the others, particularly with recognition that the underlying population distribution is unknown. Therefore, it seems perfectly legitimate to make a selection of a method on the basis other criteria, such as ease of use. It is also shown in this paper that the five alternative methods can perform about as well as, if not better than, an estimation strategy involving fitting the complete lognormal distribution using L-moments. 2007 Blackwell Publishing Journal Backfiles 1879-2005 |2007|||||||||| modeling/statistics Tomic, Sasa verfasserin aut In American Water Resources Association ; GKD-ID: 11654 Journal of the American Water Resources Association Middleburg VA : Assoc., 1967 37(2001), 5, Seite 0 Online-Ressource (DE-627)NLEJ243927428 (DE-600)2090051-X 1752-1688 nnns volume:37 year:2001 number:5 pages:0 http://dx.doi.org/10.1111/j.1752-1688.2001.tb03632.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 37 2001 5 0 |
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COMPARISON OF PARAMETRIC TAIL ESTIMATORS FOR LOW-FLOW FREQUENCY ANALYSIS |
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: In recent years, several approaches to hydrologic frequency analysis have been proposed that enable one to direct attention to that portion of an overall probability distribution that is of greatest interest. The majority of the studies have focused on the upper tail of a distribution for flood analyses, though the same ideas can be applied to low flows. This paper presents an evaluation of the performances of five different estimation methods that place an emphasis on fitting the lower tail of the lognormal distribution for estimation of the ten-year low-flow quantile. The methods compared include distributional truncation, MLE treatment of censored data, partial probability weighted moments, LL-moments, and expected moments. It is concluded that while there are some differences among the alternative methods in terms of their biases and root mean square errors, no one method consistently performs better than the others, particularly with recognition that the underlying population distribution is unknown. Therefore, it seems perfectly legitimate to make a selection of a method on the basis other criteria, such as ease of use. It is also shown in this paper that the five alternative methods can perform about as well as, if not better than, an estimation strategy involving fitting the complete lognormal distribution using L-moments. |
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: In recent years, several approaches to hydrologic frequency analysis have been proposed that enable one to direct attention to that portion of an overall probability distribution that is of greatest interest. The majority of the studies have focused on the upper tail of a distribution for flood analyses, though the same ideas can be applied to low flows. This paper presents an evaluation of the performances of five different estimation methods that place an emphasis on fitting the lower tail of the lognormal distribution for estimation of the ten-year low-flow quantile. The methods compared include distributional truncation, MLE treatment of censored data, partial probability weighted moments, LL-moments, and expected moments. It is concluded that while there are some differences among the alternative methods in terms of their biases and root mean square errors, no one method consistently performs better than the others, particularly with recognition that the underlying population distribution is unknown. Therefore, it seems perfectly legitimate to make a selection of a method on the basis other criteria, such as ease of use. It is also shown in this paper that the five alternative methods can perform about as well as, if not better than, an estimation strategy involving fitting the complete lognormal distribution using L-moments. |
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: In recent years, several approaches to hydrologic frequency analysis have been proposed that enable one to direct attention to that portion of an overall probability distribution that is of greatest interest. The majority of the studies have focused on the upper tail of a distribution for flood analyses, though the same ideas can be applied to low flows. This paper presents an evaluation of the performances of five different estimation methods that place an emphasis on fitting the lower tail of the lognormal distribution for estimation of the ten-year low-flow quantile. The methods compared include distributional truncation, MLE treatment of censored data, partial probability weighted moments, LL-moments, and expected moments. It is concluded that while there are some differences among the alternative methods in terms of their biases and root mean square errors, no one method consistently performs better than the others, particularly with recognition that the underlying population distribution is unknown. Therefore, it seems perfectly legitimate to make a selection of a method on the basis other criteria, such as ease of use. It is also shown in this paper that the five alternative methods can perform about as well as, if not better than, an estimation strategy involving fitting the complete lognormal distribution using L-moments. |
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10.1111/j.1752-1688.2001.tb03632.x |
| up_date |
2024-07-06T05:16:00.761Z |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">NLEJ243376359</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20210707180252.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">120427s2001 xx |||||o 00| ||und c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1111/j.1752-1688.2001.tb03632.x</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ243376359</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Durrans, S. Rocky.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">COMPARISON OF PARAMETRIC TAIL ESTIMATORS FOR LOW-FLOW FREQUENCY ANALYSIS</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Oxford, UK</subfield><subfield code="b">Blackwell Publishing Ltd</subfield><subfield code="c">2001</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">: In recent years, several approaches to hydrologic frequency analysis have been proposed that enable one to direct attention to that portion of an overall probability distribution that is of greatest interest. The majority of the studies have focused on the upper tail of a distribution for flood analyses, though the same ideas can be applied to low flows. This paper presents an evaluation of the performances of five different estimation methods that place an emphasis on fitting the lower tail of the lognormal distribution for estimation of the ten-year low-flow quantile. The methods compared include distributional truncation, MLE treatment of censored data, partial probability weighted moments, LL-moments, and expected moments. It is concluded that while there are some differences among the alternative methods in terms of their biases and root mean square errors, no one method consistently performs better than the others, particularly with recognition that the underlying population distribution is unknown. Therefore, it seems perfectly legitimate to make a selection of a method on the basis other criteria, such as ease of use. It is also shown in this paper that the five alternative methods can perform about as well as, if not better than, an estimation strategy involving fitting the complete lognormal distribution using L-moments.</subfield></datafield><datafield tag="533" ind1=" " ind2=" "><subfield code="d">2007</subfield><subfield code="f">Blackwell Publishing Journal Backfiles 1879-2005</subfield><subfield code="7">|2007||||||||||</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">modeling/statistics</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tomic, Sasa</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="a">American Water Resources Association ; GKD-ID: 11654</subfield><subfield code="t">Journal of the American Water Resources Association</subfield><subfield code="d">Middleburg VA : Assoc., 1967</subfield><subfield code="g">37(2001), 5, Seite 0</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)NLEJ243927428</subfield><subfield code="w">(DE-600)2090051-X</subfield><subfield code="x">1752-1688</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:37</subfield><subfield code="g">year:2001</subfield><subfield code="g">number:5</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://dx.doi.org/10.1111/j.1752-1688.2001.tb03632.x</subfield><subfield code="q">text/html</subfield><subfield code="x">Verlag</subfield><subfield code="z">Deutschlandweit zugänglich</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-DJB</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">37</subfield><subfield code="j">2001</subfield><subfield code="e">5</subfield><subfield code="h">0</subfield></datafield></record></collection>
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