@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix isothes: <http://purl.org/iso25964/skos-thes#> .

<https://concepts.sagepub.com/social-science/concept/regression_analysis>
  skos:prefLabel "regression analysis"@en ;
  a skos:Concept ;
  skos:narrower <https://concepts.sagepub.com/social-science/concept/maximum_likelihood_estimation> .

<https://concepts.sagepub.com/social-science/concept/structural_equation_modelling>
  skos:prefLabel "structural equation modelling"@en ;
  a skos:Concept ;
  skos:narrower <https://concepts.sagepub.com/social-science/concept/maximum_likelihood_estimation> .

<https://concepts.sagepub.com/social-science/concept/parametric_statistics>
  skos:prefLabel "parametric statistics"@en ;
  a skos:Concept ;
  skos:narrower <https://concepts.sagepub.com/social-science/concept/maximum_likelihood_estimation> .

<https://concepts.sagepub.com/social-science/concept/confirmatory_factor_analysis>
  skos:prefLabel "confirmatory factor analysis"@en ;
  a skos:Concept ;
  skos:narrower <https://concepts.sagepub.com/social-science/concept/maximum_likelihood_estimation> .

<https://concepts.sagepub.com/social-science/concept/log-linear_analysis>
  skos:prefLabel "log-linear analysis"@en ;
  a skos:Concept ;
  skos:narrower <https://concepts.sagepub.com/social-science/concept/maximum_likelihood_estimation> .

<https://concepts.sagepub.com/social-science/concept/logistic_regression>
  skos:prefLabel "logistic regression"@en ;
  a skos:Concept ;
  skos:narrower <https://concepts.sagepub.com/social-science/concept/maximum_likelihood_estimation> .

<https://concepts.sagepub.com/social-science/concept/conceptgroup/methods>
  a skos:Collection, isothes:ConceptGroup ;
  skos:prefLabel "methods"@en ;
  skos:member <https://concepts.sagepub.com/social-science/concept/maximum_likelihood_estimation> .

<https://concepts.sagepub.com/social-science/concept/maximum_likelihood_estimation>
  skos:definition "Statistical methods (usually alternatives to ∗OLS methods) for estimating the ∗population parameters most likely to have resulted in observed ∗sample data. MLE is an integral part of ∗SEM. [Source: <a href=\"https://methods.sagepub.com/reference/dictionary-of-statistics-methodology/n1140.xml\" target=\"_blank\" data-id=\"to-srm\">Dictionary of Statistics &amp; Methodology; Maximum Likelihood Estimation (MLE)</a>]"@en ;
  skos:broader <https://concepts.sagepub.com/social-science/concept/structural_equation_modelling>, <https://concepts.sagepub.com/social-science/concept/regression_analysis>, <https://concepts.sagepub.com/social-science/concept/parametric_statistics>, <https://concepts.sagepub.com/social-science/concept/log-linear_analysis>, <https://concepts.sagepub.com/social-science/concept/logistic_regression>, <https://concepts.sagepub.com/social-science/concept/confirmatory_factor_analysis> ;
  skos:prefLabel "maximum likelihood estimation"@en ;
  a skos:Concept .