@prefix mdl: <http://data.loterre.fr/ark:/67375/MDL> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .

mdl: a skos:ConceptScheme .
mdl:-RR85CG1F-3
  skos:prefLabel "processus stochastique"@fr, "stochastic process"@en ;
  a skos:Concept ;
  skos:narrower mdl:-T2MDCD73-4 .

mdl:-T2MDCD73-4
  skos:hiddenLabel "Processus empirique"@fr, "processus empiriques"@fr, "Empirical process"@en, "Processus empiriques"@fr, "empirical processes"@en ;
  skos:definition "In probability theory, an empirical process is a stochastic process that describes the proportion of objects in a system in a given state. For a process in a discrete state space a population continuous time Markov chain or Markov population model is a process which counts the number of objects in a given state (without rescaling). In mean field theory, limit theorems (as the number of objects becomes large) are considered and generalise the central limit theorem for empirical measures. Applications of the theory of empirical processes arise in non-parametric statistics  (Wikipedia, The Free Encyclopedia, <a href=\"https://en.wikipedia.org/wiki/Empirical_process\" target=\"_blank\">https://en.wikipedia.org/wiki/Empirical_process</a>)"@en, "En probabilités, le processus empirique est un processus stochastique qui s'exprime en fonction de la proportion d'objets appartenant à un certain ensemble. Ce processus fait intervenir les déviations d'une statistique autour de sa moyenne et sera donc utile dans l'étude de la plupart d'entre elles. (Wikipedia, L'Encylopédie Libre, <a href=\"https://fr.wikipedia.org/wiki/Processus_empirique\" target=\"_blank\">https://fr.wikipedia.org/wiki/Processus_empirique</a>)"@fr ;
  a skos:Concept ;
  skos:inScheme mdl: ;
  skos:prefLabel "processus empirique"@fr, "empirical process"@en ;
  skos:broader mdl:-RR85CG1F-3 ;
  skos:exactMatch <https://en.wikipedia.org/wiki/Empirical_process>, <https://fr.wikipedia.org/wiki/Processus_empirique> .