@prefix agrovoc: <http://aims.fao.org/aos/agrovoc/> .
@prefix skosxl: <http://www.w3.org/2008/05/skos-xl#> .
@prefix dc: <http://purl.org/dc/terms/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix void: <http://rdfs.org/ns/void#> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix nalt: <https://lod.nal.usda.gov/nalt/> .

agrovoc:xl_en_0ea6c9fe
  a skosxl:Label ;
  dc:created "2018-04-16T14:08:54Z"^^xsd:dateTime ;
  dc:modified "2018-04-16T19:01:39Z"^^xsd:dateTime ;
  void:inDataset <http://aims.fao.org/aos/agrovoc/void.ttl#Agrovoc> ;
  skos:notation "0ea6c9fe"^^agrovoc:AgrovocCode ;
  skosxl:literalForm "probit model"@en .

agrovoc:xDef_d43708e9
  rdf:value "In statistics, a probit model is a type of regression where the dependent variable can take only two values, for example married or not married. The purpose of the model is to estimate the probability that an observation with particular characteristics will fall into a specific one of the categories; moreover, classifying observations based on their predicted probabilities is a type of binary classification model. A probit model is a popular specification for an ordinal or a binary response model. As such it treats the same set of problems as does logistic regression using similar techniques. The probit model, which employs a probit link function, is most often estimated using the standard maximum likelihood procedure, such an estimation being called a probit regression."@en ;
  dc:created "2018-04-16T18:32:10Z"^^xsd:dateTime ;
  dc:modified "2025-02-13T13:15:55"^^xsd:dateTime ;
  dc:source <https://en.wikipedia.org/wiki/Probit_model> .

agrovoc:xl_fr_cd698602
  a skosxl:Label ;
  dc:created "2018-04-16T17:03:49Z"^^xsd:dateTime ;
  dc:modified "2021-06-02T08:49:03"^^xsd:dateTime ;
  void:inDataset <http://aims.fao.org/aos/agrovoc/void.ttl#Agrovoc> ;
  skos:notation "1c49b800"^^agrovoc:AgrovocCode ;
  skosxl:literalForm "analyse par la méthode des probits"@fr .

agrovoc:xl_es_6c62706a
  a skosxl:Label ;
  dc:created "2018-04-16T17:02:34Z"^^xsd:dateTime ;
  dc:modified "2018-04-16T19:06:21Z"^^xsd:dateTime ;
  void:inDataset <http://aims.fao.org/aos/agrovoc/void.ttl#Agrovoc> ;
  skos:notation "1c49b800"^^agrovoc:AgrovocCode ;
  skosxl:literalForm "Análisis por el método de probits"@es .

agrovoc:xl_en_13244118
  a skosxl:Label ;
  dc:created "2018-04-16T14:07:57Z"^^xsd:dateTime ;
  dc:modified "2018-04-16T19:01:39Z"^^xsd:dateTime ;
  void:inDataset <http://aims.fao.org/aos/agrovoc/void.ttl#Agrovoc> ;
  skos:notation "1c49b800"^^agrovoc:AgrovocCode ;
  skosxl:literalForm "probit analysis"@en .

<http://agrotermos.dados.embrapa.br/agrotermos>
  a owl:owOntology, skos:ConceptScheme ;
  skos:prefLabel "Agrotermos"@es, "Agrotermos"@en, "Agrotermos"@pt-BR .

skos:prefLabel rdfs:comment "A resource has no more than one value of skos:prefLabel per language tag."@en .
agrovoc:c_1c49b800
  a skos:Concept ;
  dc:created "2018-04-16T14:07:57Z"^^xsd:dateTime ;
  dc:modified "2026-04-29T04:12:55"^^xsd:dateTime ;
  void:inDataset <http://aims.fao.org/aos/agrovoc/void.ttl#Agrovoc> ;
  skos:altLabel "probit model"@en ;
  skos:broader agrovoc:c_7377 ;
  skos:closeMatch <https://d-nb.info/gnd/4225469-3> ;
  skos:definition agrovoc:xDef_d43708e9 ;
  skos:exactMatch nalt:59668 ;
  skos:inScheme <http://agrotermos.dados.embrapa.br/agrotermos> ;
  skos:prefLabel "probit analysis"@en, "Análisis por el método de probits"@es, "analyse par la méthode des probits"@fr ;
  skosxl:altLabel agrovoc:xl_en_0ea6c9fe ;
  skosxl:prefLabel agrovoc:xl_en_13244118, agrovoc:xl_es_6c62706a, agrovoc:xl_fr_cd698602 .

agrovoc:c_7377
  a skos:Concept ;
  skos:narrower agrovoc:c_1c49b800 ;
  skos:prefLabel "Método estadístico"@es, "método estatístico"@pt, "méthode statistique"@fr, "statistical methods"@en .