Search results for " Statistics"

showing 10 items of 1891 documents

Consistent estimates of the mode of the probability density function in nonparametric deconvolution problems

2000

International audience

[PHYS]Physics [physics][ MATH ] Mathematics [math][ PHYS ] Physics [physics][ STAT ] Statistics [stat][SPI] Engineering Sciences [physics][MATH] Mathematics [math]Deconvolution[PHYS] Physics [physics][STAT] Statistics [stat][STAT]Statistics [stat][SPI]Engineering Sciences [physics][ SPI ] Engineering Sciences [physics]NonparametricMode[MATH]Mathematics [math]EstimationComputingMilieux_MISCELLANEOUS
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Estimation of the constant measurement error of stable random field

1999

International audience

[PHYS]Physics [physics][ MATH ] Mathematics [math][ PHYS ] Physics [physics][ STAT ] Statistics [stat][SPI] Engineering Sciences [physics][MATH] Mathematics [math][STAT] Statistics [stat][PHYS] Physics [physics][STAT]Statistics [stat]Spectral Analysis[SPI]Engineering Sciences [physics][ SPI ] Engineering Sciences [physics]random fields[MATH]Mathematics [math]ComputingMilieux_MISCELLANEOUS
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Plan d’expériences, Méthode de Taguchi

2007

National audience

[PHYS]Physics [physics][ MATH ] Mathematics [math][ PHYS ] Physics [physics][ STAT ] Statistics [stat][SPI] Engineering Sciences [physics][MATH] Mathematics [math][STAT] Statistics [stat][PHYS] Physics [physics][STAT]Statistics [stat]Tagguchi[SPI]Engineering Sciences [physics][ SPI ] Engineering Sciences [physics][MATH]Mathematics [math]ComputingMilieux_MISCELLANEOUS
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Spectral density estimate for alpha-stable p-adic processes

2012

International audience

[PHYS]Physics [physics][ MATH ] Mathematics [math]p_adic numbers[ PHYS ] Physics [physics][ STAT ] Statistics [stat][SPI] Engineering Sciences [physics][MATH] Mathematics [math][STAT] Statistics [stat][PHYS] Physics [physics][STAT]Statistics [stat][SPI]Engineering Sciences [physics]alpha stablespectral density[ SPI ] Engineering Sciences [physics][MATH]Mathematics [math]ComputingMilieux_MISCELLANEOUS
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Estimation de la densité de la mesure spectrale mixte pour un processus symétrique stable strictement stationnaire

1994

International audience

[PHYS]Physics [physics]densité spectrale processus stable fourier[ MATH ] Mathematics [math][ PHYS ] Physics [physics][ STAT ] Statistics [stat][SPI] Engineering Sciences [physics][MATH] Mathematics [math][STAT] Statistics [stat][PHYS] Physics [physics][STAT]Statistics [stat][SPI]Engineering Sciences [physics][ SPI ] Engineering Sciences [physics][MATH]Mathematics [math]ComputingMilieux_MISCELLANEOUS
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Weeds sampling for map reconstruction: a Markov random field approach

2012

In the past 15 years, there has been a growing interest for the study of the spatial repartition of weeds in crops, mainly because this is a prerequisite to herbicides use reduction. There has been a large variety of statistical methods developped for this problem ([5], [7], [10]). However, one common point of all of these methods is that they are based on in situ collection of data about weeds spatial repartition. A crucial problem is then to choose where, in the eld, data should be collected. Since exhaustive sampling of a eld is too costly, a lot of attention has been paid to the development of spatial sampling methods ([12], [4], [6] [9]). Classical spatial stochastic model of weeds cou…

[SDE.BE] Environmental Sciences/Biodiversity and EcologyBiodiversity and Ecology[ SDE.BE ] Environmental Sciences/Biodiversity and Ecology[STAT.TH] Statistics [stat]/Statistics Theory [stat.TH][MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]Biodiversité et EcologieStatistiques (Mathématiques)[ MATH.MATH-ST ] Mathematics [math]/Statistics [math.ST][STAT.TH]Statistics [stat]/Statistics Theory [stat.TH]Markov decision process;dynamic programming;reinforcement learning;adaptive sampling;Markov random field;batch;sampling cost;field approach;weed[SDE.BE]Environmental Sciences/Biodiversity and Ecology[MATH.MATH-ST] Mathematics [math]/Statistics [math.ST][ STAT.TH ] Statistics [stat]/Statistics Theory [stat.TH]
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Structuration spatiale des principaux poissons démersaux autour de l’île de la Réunion à partir de la formeexterne de leurs otolithes

2022

L’identification et la connaissance de la structuration spatiale de stocks sont essentielles pour étudier la dynamique des populations de poissons et ainsi gérer les pêcheries. Dans cette étude, la forme des otolithes a été employée pour comprendre la structuration des stocks des populations des principales espèces commerciales capturées à l’île de La Réunion. Un total de 1091 individus, appartenant à 9 espèces de poissons osseux bentho-pélagiques de différents compartiments d’habitats coralliens et profonds (Aphareus rutilans, Cephalopholis aurantia, Epinephelus fasciatus, Etelis carbunculus, Lutjanus kasmira, Lutjanus notatus, Pristipomoides argyrogrammicus, Pristipomoides filamentosus, V…

[SDE.BE] Environmental Sciences/Biodiversity and EcologyElliptiques de FourierLa réunionOtolithesStructures des stocksClassification[STAT.ML] Statistics [stat]/Machine Learning [stat.ML]
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Guide pratique de biostatistique

2022

A l’aide de clés de détermination simples et de cartes mentales, l’utilisateur de ce guide pratique pourra facilement identifier le test adéquat pour ses données en biologie et en écologie.Ce guide pratique de Biostatistique permet de choisir le test adapté au cas rencontré par l'étudiant ou l'enseignant en biologie. Il comporte plusieurs originalités majeures, notamment, la présentation des différentes étapes pour le choix et la conduite de tests statistiques pertinents, une adaptation du traitement des données sous R. Il inclut, à la fin de chaque chapitre, un arbre décisionnel des tests et des exercices choisis à partir de données biologiques et écologiques réelles tirées de la littératu…

[SDE.BE] Environmental Sciences/Biodiversity and Ecology[SDE.MCG] Environmental Sciences/Global Changes[SHS.ENVIR] Humanities and Social Sciences/Environmental studies[SHS.GEO] Humanities and Social Sciences/Geography[SHS.STAT] Humanities and Social Sciences/Methods and statistics[SDV.EE.ECO] Life Sciences [q-bio]/Ecology environment/Ecosystems[SDE.ES] Environmental Sciences/Environmental and Society[SDE.IE] Environmental Sciences/Environmental Engineering[SDV.EE.IEO] Life Sciences [q-bio]/Ecology environment/Symbiosis[SDV.SA.SF] Life Sciences [q-bio]/Agricultural sciences/Silviculture forestry[SDV.BV.BOT] Life Sciences [q-bio]/Vegetal Biology/Botanics
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La recherche publique en France en 2019 : Diagnostic et propositions du Comité national

2019

Projet porté par le Comité National du CNRS.; Dans le contexte de la préparation d’une loi de programmation pluriannuelle de la recherche, ce document présente la contribution du Comité national de la recherche scientifique à l’analyse de la situation de la recherche publique en France, de son évolution récente (depuis la loi LRU de 2008) et de ses perspectives, ainsi qu’un ensemble de propositions qui ont été finalisées et ont fait l’objet d’une approbation solennelle lors de la session plénière du Comité national organisée à Paris le 4 juillet 2019.

[SDE] Environmental Sciences[SPI] Engineering Sciences [physics][SDV]Life Sciences [q-bio][MATH] Mathematics [math][INFO] Computer Science [cs][PHYS] Physics [physics][SHS]Humanities and Social Sciences[SDU] Sciences of the Universe [physics][SPI]Engineering Sciences [physics][SCCO]Cognitive science[CHIM] Chemical Sciences[CHIM]Chemical Sciences[NLIN] Nonlinear Sciences [physics][INFO]Computer Science [cs][NLIN]Nonlinear Sciences [physics][MATH]Mathematics [math]ComputingMilieux_MISCELLANEOUS[PHYS]Physics [physics][QFIN]Quantitative Finance [q-fin][SCCO] Cognitive science[QFIN] Quantitative Finance [q-fin][STAT] Statistics [stat][SDV] Life Sciences [q-bio][STAT]Statistics [stat][SDU]Sciences of the Universe [physics][SDE]Environmental Sciences[SHS] Humanities and Social Sciences[SHS.HIST]Humanities and Social Sciences/History
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The subject effect in descriptive analysis: fixed or random? An old question revisited thanks to 697 datasets from the sensobase

2015

The subject effect in descriptive analysis: fixed or random? An old question revisited thanks to 697 datasets from the sensobase. 11. Pangborn sensory science symposium

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutrition[STAT.CO]Statistics [stat]/Computation [stat.CO][SDV.AEN]Life Sciences [q-bio]/Food and Nutrition[STAT.CO] Statistics [stat]/Computation [stat.CO][ STAT.CO ] Statistics [stat]/Computation [stat.CO]
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