@prefix agrovoc: <http://aims.fao.org/aos/agrovoc/> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix dc: <http://purl.org/dc/terms/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .

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:c_1c49b800 skos:definition agrovoc:xDef_d43708e9 .