Box 1. Methods promising to improve statistical inferences
Identifieur interne : 00C459 ( Main/Exploration ); précédent : 00C458; suivant : 00C460Box 1. Methods promising to improve statistical inferences
Auteurs : Gordon Luikart ; Phillip R. England ; Gordon Luikart [France] ; Phillip R. England [France, Australie]Source :
- Trends in Ecology & Evolution [ 0169-5347 ] ; 1999.
Descripteurs français
- Wicri :
- topic : Génétique, Accroissement de population.
English descriptors
- KwdEn :
- Allele, Allele frequencies, Assignment test, Assignment tests, Bayesian, Bayesian methods, Bayesian statistics, Birth weight, Branch lengths, Coalescent, Coalescent bayesian, Coalescent date, Computer programs, Conservation biology, Demographic history, Dispersal, Dispersal rates, Ecol, Effective population size, Elsevier science, Email, Fire frequency, Front matter, Gaia, Gene flow, Genetic data, Genetics, Locus, Management units, Markov chain monte carlo, Mathematical model, Maximum likelihood, Mcmc, Method infers, Microsatellite, Microsatellite data, Microsatellite loci, Microsatellite variation, Microsatellites, Migration rates, More information, Mutation, Mutation rate, Mutation rates, Natural populations, Natural selection, Plant growth, Population growth, Posterior distribution, Preliminary estimate, Probability distribution, Recent change, Recent changes, Relatedness, Retrieving information, Simulation methodologies, Trends ecol.
- Teeft :
- Allele, Allele frequencies, Assignment test, Assignment tests, Bayesian, Bayesian methods, Bayesian statistics, Birth weight, Branch lengths, Coalescent, Coalescent bayesian, Coalescent date, Computer programs, Conservation biology, Demographic history, Dispersal, Dispersal rates, Ecol, Effective population size, Elsevier science, Email, Fire frequency, Front matter, Gaia, Gene flow, Genetic data, Genetics, Locus, Management units, Markov chain monte carlo, Mathematical model, Maximum likelihood, Mcmc, Method infers, Microsatellite, Microsatellite data, Microsatellite loci, Microsatellite variation, Microsatellites, Migration rates, More information, Mutation, Mutation rate, Mutation rates, Natural populations, Natural selection, Plant growth, Population growth, Posterior distribution, Preliminary estimate, Probability distribution, Recent change, Recent changes, Relatedness, Retrieving information, Simulation methodologies, Trends ecol.
Url:
DOI: 10.1016/S0169-5347(99)01632-8
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 002D78
- to stream Istex, to step Curation: 002D78
- to stream Istex, to step Checkpoint: 002121
- to stream Main, to step Merge: 00D432
- to stream Main, to step Curation: 00C459
Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title>Box 1. Methods promising to improve statistical inferences</title>
<author><name sortKey="Luikart, Gordon" sort="Luikart, Gordon" uniqKey="Luikart G" first="Gordon" last="Luikart">Gordon Luikart</name>
</author>
<author><name sortKey="England, Phillip R" sort="England, Phillip R" uniqKey="England P" first="Phillip R." last="England">Phillip R. England</name>
</author>
<author><name sortKey="Luikart, Gordon" sort="Luikart, Gordon" uniqKey="Luikart G" first="Gordon" last="Luikart">Gordon Luikart</name>
</author>
<author><name sortKey="England, Phillip R" sort="England, Phillip R" uniqKey="England P" first="Phillip R." last="England">Phillip R. England</name>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">ISTEX</idno>
<idno type="RBID">ISTEX:F3084520DA58BA1E6567358D07ACB30CA20139C7</idno>
<date when="1999" year="1999">1999</date>
<idno type="doi">10.1016/S0169-5347(99)01632-8</idno>
<idno type="url">https://api.istex.fr/document/F3084520DA58BA1E6567358D07ACB30CA20139C7/fulltext/pdf</idno>
<idno type="wicri:Area/Istex/Corpus">002D78</idno>
<idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">002D78</idno>
<idno type="wicri:Area/Istex/Curation">002D78</idno>
<idno type="wicri:Area/Istex/Checkpoint">002121</idno>
<idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Checkpoint">002121</idno>
<idno type="wicri:doubleKey">0169-5347:1999:Luikart G:box:methods:promising</idno>
<idno type="wicri:Area/Main/Merge">00D432</idno>
<idno type="wicri:Area/Main/Curation">00C459</idno>
<idno type="wicri:Area/Main/Exploration">00C459</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title level="a">Box 1. Methods promising to improve statistical inferences</title>
<author><name sortKey="Luikart, Gordon" sort="Luikart, Gordon" uniqKey="Luikart G" first="Gordon" last="Luikart">Gordon Luikart</name>
<affiliation><wicri:noCountry code="syntax">???</wicri:noCountry>
</affiliation>
</author>
<author><name sortKey="England, Phillip R" sort="England, Phillip R" uniqKey="England P" first="Phillip R." last="England">Phillip R. England</name>
<affiliation><wicri:noCountry code="syntax">???</wicri:noCountry>
</affiliation>
</author>
<author><name sortKey="Luikart, Gordon" sort="Luikart, Gordon" uniqKey="Luikart G" first="Gordon" last="Luikart">Gordon Luikart</name>
<affiliation wicri:level="1"><country wicri:rule="url">France</country>
</affiliation>
<affiliation wicri:level="4"><country xml:lang="fr">France</country>
<wicri:regionArea>Laboratoire de Biologie des Populations d'Altitude, UMR CNRS 5553, Université Joseph Fourier, BP 53, F-38041 Grenoble Cedex 9</wicri:regionArea>
<orgName type="university">Université Joseph Fourier</orgName>
<placeName><settlement type="city">Grenoble</settlement>
<region type="region" nuts="2">Auvergne-Rhône-Alpes</region>
<region type="old region" nuts="2">Rhône-Alpes</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="England, Phillip R" sort="England, Phillip R" uniqKey="England P" first="Phillip R." last="England">Phillip R. England</name>
<affiliation wicri:level="1"><country wicri:rule="url">France</country>
</affiliation>
<affiliation wicri:level="1"><country xml:lang="fr">Australie</country>
<wicri:regionArea>Australian Flora and Fauna Research Centre, Dept of Biological Sciences, University of Wollongong, Wollongong, NSW 2522</wicri:regionArea>
<wicri:noRegion>NSW 2522</wicri:noRegion>
</affiliation>
</author>
</analytic>
<monogr></monogr>
<series><title level="j">Trends in Ecology & Evolution</title>
<title level="j" type="abbrev">TREE</title>
<idno type="ISSN">0169-5347</idno>
<imprint><publisher>ELSEVIER</publisher>
<date type="published" when="1999">1999</date>
<biblScope unit="volume">14</biblScope>
<biblScope unit="issue">7</biblScope>
<biblScope unit="page" from="253">253</biblScope>
<biblScope unit="page" to="256">256</biblScope>
</imprint>
<idno type="ISSN">0169-5347</idno>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt><idno type="ISSN">0169-5347</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Allele</term>
<term>Allele frequencies</term>
<term>Assignment test</term>
<term>Assignment tests</term>
<term>Bayesian</term>
<term>Bayesian methods</term>
<term>Bayesian statistics</term>
<term>Birth weight</term>
<term>Branch lengths</term>
<term>Coalescent</term>
<term>Coalescent bayesian</term>
<term>Coalescent date</term>
<term>Computer programs</term>
<term>Conservation biology</term>
<term>Demographic history</term>
<term>Dispersal</term>
<term>Dispersal rates</term>
<term>Ecol</term>
<term>Effective population size</term>
<term>Elsevier science</term>
<term>Email</term>
<term>Fire frequency</term>
<term>Front matter</term>
<term>Gaia</term>
<term>Gene flow</term>
<term>Genetic data</term>
<term>Genetics</term>
<term>Locus</term>
<term>Management units</term>
<term>Markov chain monte carlo</term>
<term>Mathematical model</term>
<term>Maximum likelihood</term>
<term>Mcmc</term>
<term>Method infers</term>
<term>Microsatellite</term>
<term>Microsatellite data</term>
<term>Microsatellite loci</term>
<term>Microsatellite variation</term>
<term>Microsatellites</term>
<term>Migration rates</term>
<term>More information</term>
<term>Mutation</term>
<term>Mutation rate</term>
<term>Mutation rates</term>
<term>Natural populations</term>
<term>Natural selection</term>
<term>Plant growth</term>
<term>Population growth</term>
<term>Posterior distribution</term>
<term>Preliminary estimate</term>
<term>Probability distribution</term>
<term>Recent change</term>
<term>Recent changes</term>
<term>Relatedness</term>
<term>Retrieving information</term>
<term>Simulation methodologies</term>
<term>Trends ecol</term>
</keywords>
<keywords scheme="Teeft" xml:lang="en"><term>Allele</term>
<term>Allele frequencies</term>
<term>Assignment test</term>
<term>Assignment tests</term>
<term>Bayesian</term>
<term>Bayesian methods</term>
<term>Bayesian statistics</term>
<term>Birth weight</term>
<term>Branch lengths</term>
<term>Coalescent</term>
<term>Coalescent bayesian</term>
<term>Coalescent date</term>
<term>Computer programs</term>
<term>Conservation biology</term>
<term>Demographic history</term>
<term>Dispersal</term>
<term>Dispersal rates</term>
<term>Ecol</term>
<term>Effective population size</term>
<term>Elsevier science</term>
<term>Email</term>
<term>Fire frequency</term>
<term>Front matter</term>
<term>Gaia</term>
<term>Gene flow</term>
<term>Genetic data</term>
<term>Genetics</term>
<term>Locus</term>
<term>Management units</term>
<term>Markov chain monte carlo</term>
<term>Mathematical model</term>
<term>Maximum likelihood</term>
<term>Mcmc</term>
<term>Method infers</term>
<term>Microsatellite</term>
<term>Microsatellite data</term>
<term>Microsatellite loci</term>
<term>Microsatellite variation</term>
<term>Microsatellites</term>
<term>Migration rates</term>
<term>More information</term>
<term>Mutation</term>
<term>Mutation rate</term>
<term>Mutation rates</term>
<term>Natural populations</term>
<term>Natural selection</term>
<term>Plant growth</term>
<term>Population growth</term>
<term>Posterior distribution</term>
<term>Preliminary estimate</term>
<term>Probability distribution</term>
<term>Recent change</term>
<term>Recent changes</term>
<term>Relatedness</term>
<term>Retrieving information</term>
<term>Simulation methodologies</term>
<term>Trends ecol</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Génétique</term>
<term>Accroissement de population</term>
</keywords>
</textClass>
<langUsage><language ident="en">en</language>
</langUsage>
</profileDesc>
</teiHeader>
</TEI>
<affiliations><list><country><li>Australie</li>
<li>France</li>
</country>
<region><li>Auvergne-Rhône-Alpes</li>
<li>Rhône-Alpes</li>
</region>
<settlement><li>Grenoble</li>
</settlement>
<orgName><li>Université Joseph Fourier</li>
</orgName>
</list>
<tree><noCountry><name sortKey="England, Phillip R" sort="England, Phillip R" uniqKey="England P" first="Phillip R." last="England">Phillip R. England</name>
<name sortKey="Luikart, Gordon" sort="Luikart, Gordon" uniqKey="Luikart G" first="Gordon" last="Luikart">Gordon Luikart</name>
</noCountry>
<country name="France"><noRegion><name sortKey="Luikart, Gordon" sort="Luikart, Gordon" uniqKey="Luikart G" first="Gordon" last="Luikart">Gordon Luikart</name>
</noRegion>
<name sortKey="England, Phillip R" sort="England, Phillip R" uniqKey="England P" first="Phillip R." last="England">Phillip R. England</name>
<name sortKey="Luikart, Gordon" sort="Luikart, Gordon" uniqKey="Luikart G" first="Gordon" last="Luikart">Gordon Luikart</name>
</country>
<country name="Australie"><noRegion><name sortKey="England, Phillip R" sort="England, Phillip R" uniqKey="England P" first="Phillip R." last="England">Phillip R. England</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Asie/explor/AustralieFrV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 00C459 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 00C459 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Wicri/Asie |area= AustralieFrV1 |flux= Main |étape= Exploration |type= RBID |clé= ISTEX:F3084520DA58BA1E6567358D07ACB30CA20139C7 |texte= Box 1. Methods promising to improve statistical inferences }}
This area was generated with Dilib version V0.6.33. |