Closed subset selection procedures for selecting good populations
Identifieur interne : 002A64 ( Main/Curation ); précédent : 002A63; suivant : 002A65Closed subset selection procedures for selecting good populations
Auteurs : H. Finner [Allemagne] ; G. Giani [Allemagne]Source :
- Journal of Statistical Planning and Inference [ 0378-3758 ] ; 1994.
Descripteurs français
- Pascal (Inist)
English descriptors
Abstract
The problem of selecting a subset containing all good treatments is considered. It is shown that under mild conditions the class of procedures deciding correctly with at least a prespecified probability P* is equivalent in some sense to the class of all consonant and coherent multiple tests at multiple level 1 − P* for a certain system of hypotheses. The equivalence relationship can be used to construct the so-called closed subset selection procedures by applying the well-known principle of closed test procedures. These procedures are more powerful than their single-step counterparts, the so-called natural selection procedures, in the sense that the selected subset of a closed selection procedure is never larger but often smaller than the selected subset of the corresponding natural decision rule. For a sampling statistic having a Lebesgue density with location parameter, analytical results are given concerning the critical values necessary to carry out the closed subset selection procedure. The normal case with both known and unknown common variance is treated in detail.
Url:
DOI: 10.1016/0378-3758(94)90034-5
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: Pour aller vers cette notice dans l'étape Curation :001575
- to stream Istex, to step Curation: Pour aller vers cette notice dans l'étape Curation :001463
- to stream Istex, to step Checkpoint: Pour aller vers cette notice dans l'étape Curation :001216
- to stream Main, to step Merge: Pour aller vers cette notice dans l'étape Curation :002F90
- to stream PascalFrancis, to step Corpus: Pour aller vers cette notice dans l'étape Curation :001582
- to stream PascalFrancis, to step Curation: Pour aller vers cette notice dans l'étape Curation :001456
- to stream PascalFrancis, to step Checkpoint: Pour aller vers cette notice dans l'étape Curation :001346
- to stream Main, to step Merge: Pour aller vers cette notice dans l'étape Curation :003076
Links to Exploration step
ISTEX:68630E12A560B28F29068BC9643FD943A62982B1Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title>Closed subset selection procedures for selecting good populations</title>
<author><name sortKey="Finner, H" sort="Finner, H" uniqKey="Finner H" first="H." last="Finner">H. Finner</name>
</author>
<author><name sortKey="Giani, G" sort="Giani, G" uniqKey="Giani G" first="G." last="Giani">G. Giani</name>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">ISTEX</idno>
<idno type="RBID">ISTEX:68630E12A560B28F29068BC9643FD943A62982B1</idno>
<date when="1994" year="1994">1994</date>
<idno type="doi">10.1016/0378-3758(94)90034-5</idno>
<idno type="url">https://api.istex.fr/document/68630E12A560B28F29068BC9643FD943A62982B1/fulltext/pdf</idno>
<idno type="wicri:Area/Istex/Corpus">001575</idno>
<idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">001575</idno>
<idno type="wicri:Area/Istex/Curation">001463</idno>
<idno type="wicri:Area/Istex/Checkpoint">001216</idno>
<idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Checkpoint">001216</idno>
<idno type="wicri:doubleKey">0378-3758:1994:Finner H:closed:subset:selection</idno>
<idno type="wicri:Area/Main/Merge">002F90</idno>
<idno type="wicri:source">INIST</idno>
<idno type="RBID">Pascal:94-0295374</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">001582</idno>
<idno type="wicri:Area/PascalFrancis/Curation">001456</idno>
<idno type="wicri:Area/PascalFrancis/Checkpoint">001346</idno>
<idno type="wicri:explorRef" wicri:stream="PascalFrancis" wicri:step="Checkpoint">001346</idno>
<idno type="wicri:doubleKey">0378-3758:1994:Finner H:closed:subset:selection</idno>
<idno type="wicri:Area/Main/Merge">003076</idno>
<idno type="wicri:Area/Main/Curation">002A64</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title level="a">Closed subset selection procedures for selecting good populations</title>
<author><name sortKey="Finner, H" sort="Finner, H" uniqKey="Finner H" first="H." last="Finner">H. Finner</name>
<affiliation wicri:level="1"><country xml:lang="fr">Allemagne</country>
<wicri:regionArea>FB IV — Mathematik/Statistik, Universität Trier, Postfach 3825, D-5500 Trier</wicri:regionArea>
<wicri:noRegion>D-5500 Trier</wicri:noRegion>
<wicri:noRegion>D-5500 Trier</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Giani, G" sort="Giani, G" uniqKey="Giani G" first="G." last="Giani">G. Giani</name>
<affiliation wicri:level="1"><country xml:lang="fr">Allemagne</country>
<wicri:regionArea>Abteilung Biometrie und Epidemiologie, Diabetes-Forschungsinstitut an der Universität Düsseldorf, Auf'm Hennekamp 65, D-4000 Düsseldorf 1</wicri:regionArea>
<wicri:noRegion>D-4000 Düsseldorf 1</wicri:noRegion>
<wicri:noRegion>D-4000 Düsseldorf 1</wicri:noRegion>
</affiliation>
</author>
</analytic>
<monogr></monogr>
<series><title level="j">Journal of Statistical Planning and Inference</title>
<title level="j" type="abbrev">JSPI</title>
<idno type="ISSN">0378-3758</idno>
<imprint><publisher>ELSEVIER</publisher>
<date type="published" when="1994">1994</date>
<biblScope unit="volume">38</biblScope>
<biblScope unit="issue">2</biblScope>
<biblScope unit="page" from="179">179</biblScope>
<biblScope unit="page" to="199">199</biblScope>
</imprint>
<idno type="ISSN">0378-3758</idno>
</series>
<idno type="istex">68630E12A560B28F29068BC9643FD943A62982B1</idno>
<idno type="DOI">10.1016/0378-3758(94)90034-5</idno>
<idno type="PII">0378-3758(94)90034-5</idno>
</biblStruct>
</sourceDesc>
<seriesStmt><idno type="ISSN">0378-3758</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Gaussian distribution</term>
<term>Range</term>
<term>Sampling</term>
<term>Selection problem</term>
<term>Student distribution</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Configuration moindre favorable</term>
<term>Echantillonnage</term>
<term>Etendue</term>
<term>Loi Student</term>
<term>Loi normale</term>
<term>Problème sélection</term>
<term>Procédure test fermé</term>
<term>Sélection sous ensemble</term>
<term>Test multiple</term>
<term>configuration paramètre</term>
</keywords>
</textClass>
<langUsage><language ident="en">en</language>
</langUsage>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">The problem of selecting a subset containing all good treatments is considered. It is shown that under mild conditions the class of procedures deciding correctly with at least a prespecified probability P* is equivalent in some sense to the class of all consonant and coherent multiple tests at multiple level 1 − P* for a certain system of hypotheses. The equivalence relationship can be used to construct the so-called closed subset selection procedures by applying the well-known principle of closed test procedures. These procedures are more powerful than their single-step counterparts, the so-called natural selection procedures, in the sense that the selected subset of a closed selection procedure is never larger but often smaller than the selected subset of the corresponding natural decision rule. For a sampling statistic having a Lebesgue density with location parameter, analytical results are given concerning the critical values necessary to carry out the closed subset selection procedure. The normal case with both known and unknown common variance is treated in detail.</div>
</front>
</TEI>
<double idat="0378-3758:1994:Finner H:closed:subset:selection"><INIST><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">Closed subset selection procedures for selecting good populations</title>
<author><name sortKey="Finner, H" sort="Finner, H" uniqKey="Finner H" first="H." last="Finner">H. Finner</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Univ. Trier, FB IV-Mathematik/Statistik</s1>
<s2>5500 Trier</s2>
<s3>DEU</s3>
<sZ>1 aut.</sZ>
</inist:fA14>
<country>Allemagne</country>
<wicri:noRegion>5500 Trier</wicri:noRegion>
<wicri:noRegion>FB IV-Mathematik/Statistik</wicri:noRegion>
<wicri:noRegion>5500 Trier</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Giani, G" sort="Giani, G" uniqKey="Giani G" first="G." last="Giani">G. Giani</name>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">INIST</idno>
<idno type="inist">94-0295374</idno>
<date when="1994">1994</date>
<idno type="stanalyst">PASCAL 94-0295374 INIST</idno>
<idno type="RBID">Pascal:94-0295374</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">001582</idno>
<idno type="wicri:Area/PascalFrancis/Curation">001456</idno>
<idno type="wicri:Area/PascalFrancis/Checkpoint">001346</idno>
<idno type="wicri:explorRef" wicri:stream="PascalFrancis" wicri:step="Checkpoint">001346</idno>
<idno type="wicri:doubleKey">0378-3758:1994:Finner H:closed:subset:selection</idno>
<idno type="wicri:Area/Main/Merge">003076</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Closed subset selection procedures for selecting good populations</title>
<author><name sortKey="Finner, H" sort="Finner, H" uniqKey="Finner H" first="H." last="Finner">H. Finner</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Univ. Trier, FB IV-Mathematik/Statistik</s1>
<s2>5500 Trier</s2>
<s3>DEU</s3>
<sZ>1 aut.</sZ>
</inist:fA14>
<country>Allemagne</country>
<wicri:noRegion>5500 Trier</wicri:noRegion>
<wicri:noRegion>FB IV-Mathematik/Statistik</wicri:noRegion>
<wicri:noRegion>5500 Trier</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Giani, G" sort="Giani, G" uniqKey="Giani G" first="G." last="Giani">G. Giani</name>
</author>
</analytic>
<series><title level="j" type="main">Journal of statistical planning and inference</title>
<title level="j" type="abbreviated">J. stat. plann. inference</title>
<idno type="ISSN">0378-3758</idno>
<imprint><date when="1994">1994</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt><title level="j" type="main">Journal of statistical planning and inference</title>
<title level="j" type="abbreviated">J. stat. plann. inference</title>
<idno type="ISSN">0378-3758</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Gaussian distribution</term>
<term>Range</term>
<term>Sampling</term>
<term>Selection problem</term>
<term>Student distribution</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Loi normale</term>
<term>Loi Student</term>
<term>Echantillonnage</term>
<term>Problème sélection</term>
<term>Procédure test fermé</term>
<term>Test multiple</term>
<term>Sélection sous ensemble</term>
<term>configuration paramètre</term>
<term>Configuration moindre favorable</term>
<term>Etendue</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
</TEI>
</INIST>
<ISTEX><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title>Closed subset selection procedures for selecting good populations</title>
<author><name sortKey="Finner, H" sort="Finner, H" uniqKey="Finner H" first="H." last="Finner">H. Finner</name>
</author>
<author><name sortKey="Giani, G" sort="Giani, G" uniqKey="Giani G" first="G." last="Giani">G. Giani</name>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">ISTEX</idno>
<idno type="RBID">ISTEX:68630E12A560B28F29068BC9643FD943A62982B1</idno>
<date when="1994" year="1994">1994</date>
<idno type="doi">10.1016/0378-3758(94)90034-5</idno>
<idno type="url">https://api.istex.fr/document/68630E12A560B28F29068BC9643FD943A62982B1/fulltext/pdf</idno>
<idno type="wicri:Area/Istex/Corpus">001575</idno>
<idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">001575</idno>
<idno type="wicri:Area/Istex/Curation">001463</idno>
<idno type="wicri:Area/Istex/Checkpoint">001216</idno>
<idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Checkpoint">001216</idno>
<idno type="wicri:doubleKey">0378-3758:1994:Finner H:closed:subset:selection</idno>
<idno type="wicri:Area/Main/Merge">002F90</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title level="a">Closed subset selection procedures for selecting good populations</title>
<author><name sortKey="Finner, H" sort="Finner, H" uniqKey="Finner H" first="H." last="Finner">H. Finner</name>
<affiliation wicri:level="1"><country xml:lang="fr">Allemagne</country>
<wicri:regionArea>FB IV — Mathematik/Statistik, Universität Trier, Postfach 3825, D-5500 Trier</wicri:regionArea>
<wicri:noRegion>D-5500 Trier</wicri:noRegion>
<wicri:noRegion>D-5500 Trier</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Giani, G" sort="Giani, G" uniqKey="Giani G" first="G." last="Giani">G. Giani</name>
<affiliation wicri:level="1"><country xml:lang="fr">Allemagne</country>
<wicri:regionArea>Abteilung Biometrie und Epidemiologie, Diabetes-Forschungsinstitut an der Universität Düsseldorf, Auf'm Hennekamp 65, D-4000 Düsseldorf 1</wicri:regionArea>
<wicri:noRegion>D-4000 Düsseldorf 1</wicri:noRegion>
<wicri:noRegion>D-4000 Düsseldorf 1</wicri:noRegion>
</affiliation>
</author>
</analytic>
<monogr></monogr>
<series><title level="j">Journal of Statistical Planning and Inference</title>
<title level="j" type="abbrev">JSPI</title>
<idno type="ISSN">0378-3758</idno>
<imprint><publisher>ELSEVIER</publisher>
<date type="published" when="1994">1994</date>
<biblScope unit="volume">38</biblScope>
<biblScope unit="issue">2</biblScope>
<biblScope unit="page" from="179">179</biblScope>
<biblScope unit="page" to="199">199</biblScope>
</imprint>
<idno type="ISSN">0378-3758</idno>
</series>
<idno type="istex">68630E12A560B28F29068BC9643FD943A62982B1</idno>
<idno type="DOI">10.1016/0378-3758(94)90034-5</idno>
<idno type="PII">0378-3758(94)90034-5</idno>
</biblStruct>
</sourceDesc>
<seriesStmt><idno type="ISSN">0378-3758</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass></textClass>
<langUsage><language ident="en">en</language>
</langUsage>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">The problem of selecting a subset containing all good treatments is considered. It is shown that under mild conditions the class of procedures deciding correctly with at least a prespecified probability P* is equivalent in some sense to the class of all consonant and coherent multiple tests at multiple level 1 − P* for a certain system of hypotheses. The equivalence relationship can be used to construct the so-called closed subset selection procedures by applying the well-known principle of closed test procedures. These procedures are more powerful than their single-step counterparts, the so-called natural selection procedures, in the sense that the selected subset of a closed selection procedure is never larger but often smaller than the selected subset of the corresponding natural decision rule. For a sampling statistic having a Lebesgue density with location parameter, analytical results are given concerning the critical values necessary to carry out the closed subset selection procedure. The normal case with both known and unknown common variance is treated in detail.</div>
</front>
</TEI>
</ISTEX>
</double>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Rhénanie/explor/UnivTrevesV1/Data/Main/Curation
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 002A64 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Curation/biblio.hfd -nk 002A64 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Wicri/Rhénanie |area= UnivTrevesV1 |flux= Main |étape= Curation |type= RBID |clé= ISTEX:68630E12A560B28F29068BC9643FD943A62982B1 |texte= Closed subset selection procedures for selecting good populations }}
This area was generated with Dilib version V0.6.31. |