Aller au contenu
Universidad del Mar SIBUMAR Descubridor Institucional UMAR
  • Inicio
  • Búsqueda avanzada
  • Explorar
  • Connexion
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
Recherche avancée
  • Does Financial Inclusion Reduce Poverty in Niger State? Evidence from Logistic Regression Technique
Image de couverture de livre

Does Financial Inclusion Reduce Poverty in Niger State? Evidence from Logistic Regression Technique

Fuente: Redalyc
Enregistré dans:
Détails bibliographiques
Auteur principal: Nurudeen Abu
Format: Artículo científico
Langue:en
Publié: Vilniaus Universitetas 2022
Sujets:
Economía y Finanzas
Poverty
Niger state
financial inclusion
logistic regression method
Probit regression technique
Accès en ligne:
Acceder al recurso 1 Acceder al recurso 2 Acceder al recurso 3 Acceder al recurso 4 Acceder al recurso 5 Acceder al recurso 6
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
  • Citer
  • Envoyer par SMS
  • Envoyer par courriel
  • Imprimer
  • Exporter les notices
    • Exporter vers RefWorks
    • Exporter vers EndNoteWeb
    • Exporter vers EndNote
  • Ajouter aux favoris
  • Permalien
  • Exemplaires
  • Description
  • Commentaires
  • Documents similaires
  • Affichage MARC

Internet

https://www.redalyc.org/articulo.oa?id=692374271009
https://www.redalyc.org/journal/6923/692374271009/
https://www.redalyc.org/journal/6923/692374271009/html/
https://www.redalyc.org/journal/6923/692374271009/692374271009.epub
https://www.redalyc.org/journal/6923/692374271009/movil
https://doi.org/10.15388/omee.2022.13.88

Documents similaires

  • Logistic Regression Analysis on the Dietary Behavior and the Risk of Nutritional Deficiency Dermatosis: The Case of Bicol Region, Philippines
    par: Temones, John Ben S
    Publié: (2024)
  • Migration and Occupation in the Brazilian Labor Market
    par: Luís Abel da Silva Filho
    Publié: (2021)
  • Read this paper if you want to learn logistic regression
    par: Antônio Alves Tôrres Fernandes
    Publié: (2020)
  • Prediction of body image dissatisfaction in university students by multivariate statistical methods
    par: Vinícius Rodrigues Arruda Pinto
    Publié: (2019)
  • Predicting Success in Product Development: The Application of Principal Component Analysis to Categorical Data and Binomial Logistic Regression
    par: Glauco Henrique de Sousa Mendes
    Publié: (2013)
Universidad del Mar
Universidad del MarSistema Bibliotecario de la Universidad del MarDescubridor Institucional UMARImplementación y desarrollo: Mtro. Carlos Alonso Albores Pérez
InicioBúsqueda avanzadaExplorar
Visitas al Descubridor: 33,245© 2026 Universidad del Mar