Learning from experience- Bayes theorem: A model for stochastic learning situations?


Book: 
Proceedings of the First International Conference on Teaching Statistics, 1982
Authors: 
Steinbring, H., & Von Harten, G.
Editors: 
Grey, D. R., Holmes, P., Barnett, V., & Constable, G. M.
Category: 
Volume: 
II
Pages: 
701-713
Year: 
1983
Publisher: 
Organising Committee of the First International Conference on Teaching Statistics
Place: 
Sheffield
Abstract: 

The Bayesian approach shall serve us in this respect: which are the advantages and drawbacks of such a model, mainly with regard to a better understanding for stochastics education? This question refers to two different aspects: to both the exemplary use of such an approach in instruction, and to the benefits and more comprehensive knowledge resulting in principle from such a didactical way of phrasing the question. Accordingly, and from an educational perspective, this is not simply a matter of deciding whether the Bayesian approach is right or wrong - i.e. of contributing to the controversy about the subjective and the objective concept of probability - but rather this debate is intended to help us obtain new insights into the relationship between probability theory and statistics which are not confined to stating either a strict separation, or an identity, between probability theory and statistics.

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