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Bayesian analysis is good for mathematical modelling in many mathematical, statistical and educational contexts. The initial and final convergence conditions are very simple and easy to interpret. It is excellent for teachers and students at all levels of education. The analysis starts with initial percentages, recursive programming and final states.If the final states are arrived at, we conclude that we have reached convergence. This then enables the researcher to make conclusions and predictions about the phenomenon of interest.

Produktbeschreibung
Bayesian analysis is good for mathematical modelling in many mathematical, statistical and educational contexts. The initial and final convergence conditions are very simple and easy to interpret. It is excellent for teachers and students at all levels of education. The analysis starts with initial percentages, recursive programming and final states.If the final states are arrived at, we conclude that we have reached convergence. This then enables the researcher to make conclusions and predictions about the phenomenon of interest.
Autorenporträt
Mr Clement Ayarebilla Ali is a Lecturer in Mathematics Education in the University of Education, Winneba in Ghana. He teaches and researches on issues of teacher education, didactic mathematics and mathematical modelling. He currently pursues PhD in Mathematics Education Degree, holds two master's degrees, and three undergraduate degrees/diplomas.