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African Journal of Applied Statistics (AJAS) / Journal Africain de Statistiques Appliquées (JAFSA)

AJAS is an official organ of the Foundation of the African Society of Statistics and Probabilities SASP, based both in Sénégal (Université Gaston Berger de Saint-Louis, UFR de Sciences Appliquées et de Technologie) and as well as in Canada, Calgary.

AJAS publishes original articles on applied sciences, using preferentially african data. AJAS wishes to assist the african development in terms of production, of analysis and of utilization its data. The tools for doing so are : development of competences and of exchanges in this field. That is why all applied statistics articles about data production, computing methods, simulation studies or data programming are also welcome.

However the perfect article of this journal is the one that contains the complete description, in a pedagogical sense, of a new or former statistical method, its application to specific data about an african country , about an african area or simply about the whole continent. The conclusion by a fact formulation based on a documented analysis by data as well as the pertinent recommandations towards the decision makers are very excepted by our readers. Here is a brief list of possible categories of papers fit to AJAS
  1. Description of a new methodology.
  2. Description of a known methodology and application to a set of data collected in Africa (if possible).
  3. Description of provided data. The authors should explain the methodology of collections and shoud indicate where and for what the data may be used. This may give the opportunity to others to work on them.
  4. Lessons papers on how to use softwares
  5. Simulations works for existing or new methodologies.
  6. Description and providing computer packages for handling data. The packges are shared with the community. Application of available data is highly recommended
  7. etc.


AJAS covers all fields of data utilization : health and medecine, economic, agroforestry, peach, feeding, sociology, demography, industry, etc.

AJAS, in consequence, is a tribune open to all scientists using data and quantitative methods of analysis.

AJAS is looking forward from the researchers especially in quantitative methods (mathematics, statistics, probabilities, econometry, etc.) a move to the necessary taking up of african questions and of the participation in the study of african challenges backed by data. AJAS invites also the data producers, especially in the public sector, to share knownledge on databases, as to tease studies and necessary collaborations for Africa's development.

AJAS invites also the decision makers and the politics to address, in this website, all question related to data and hope to have solutions from interested scientists.

For the editorial team,
Prof Gane Samb LO, Founding Editor,
Elected member of International Institute of Statistics




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