2026-07-25

Statistical analysis : Classification

  

We remind that it is an extract of the book economic growth and sustainable development in structure (statistical and econometric analysis) whose site: https://www.amazon.fr/Boutique-Kindle-ABDI-BASID-ADAN / s? ie = UTF8 & page = 1 & rh = n 3A672108031%%% 2Cp_27 3AABDI-Basid% 20ADAN

1. Presentation of study data

As part of this project of memory project, we are particularly interested in economic growth in Africa. Variables dictated by literary and empirical journals will be retrieved from the World Bank database. In this case, GDP per capita, fossil energy consumption, physical capital ... etc. Other unobservable variables will be able to be calculated. In this sense, it is the savings rate, the net capital inflow, the rates of commercial opening. Our values ​​are in current dollars. The study period or the interval by which we analyze the theme is between 1960 and 2016. In truth, more data remains unavailable for the year 2017. We will then solicit methods of clearing and correction of the missing values ​​before to be able to carry out studies whose prospects seem already purified in the general introduction.

 

2. Analysis of statistical results

Above we have presented the ascending hierarchical classification of variables under three graphs, but the first illustration is more explicit. The objective sought in this segmentation or partitioning of the set of observations is exposed their similarities and their dissimilarities by the measure of dissimilarity and the criterion of homogeneity which generally revolves around the minimization of the inertia in each class: this is called measuring the quality of the class. The partitioning algorithm in our context is based on Ward's method, although other partitioning techniques are based on the K-mean method; K-mode. K-prototype, Kohonen networks, mixed method, relational ... etc.,

The table below presents the critical probabilities of the Student's test in relation to the comparison of the average GDP per capita (GDP / H) between the groups of countries 1,2,4,7 and 9. Indeed, the other groups consist of only one isolated country.


ADAN, A.-B. (2018). Croissance Economique et Développement Durable en Afrique: Analyses Statistiques et Econométriques [Kindle]. Amazon Media EU S.à r.l.

 We remind you that the whole of this document is accessible on the Amazon site:

https://www.amazon.fr/Boutique-Kindle-ABDI-BASID-ADAN/s?ie=UTF8&page=1&rh=n%3A672108031%2Cp_27%3AABDI-BASID%20ADAN


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