Applied Probability and Statistics
Methods, Computation packages and Applications on Data in any field

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

Sorry for the disruption of services, because of the COVID19 pandemic

We present our apologies to our visiteurs and the authors who wish to publish their valuable works in the journals of SPAS and in our e-books editions branch.

Indeed, the Corana virus pandemic has negatively impacted our management : papers production, review process and the development our websites. Regarding the debelopment of the websites, it was scheduled that the online submission system should have been ready in the first quarter of the year.

As yoou shloud know, we are a very few people to run all the activities of the foundation, the society and the journals. The main coordinator was blocked somewhere with very limited working means in a situation of total lockdown.

Now things are getting better and we think that the normal functionning is back.

Thanks you for your patience and your support.
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 that 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 how the data has been collected and should 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. etc.
The policy of the journal is that the reader should be able to apply the method described in a paper of applied statistics. So it is important :
  • to described the methodology used in the paper and all parameters
  • to Justify the methodology
  • to give algorithms if relevant
  • to explain the implementation to current data and eventually (in case of innovative procedures) the codes (R, SAS, SPSS, STAT-A, etc.)
  • At the end of the paper, authors should reply themselves to the question : do you think that the reader will be able to conduct a research work using our paper from A to B.?

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
Member of the Selection Committee of the International Mahalanobis Prize (2019)