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By Alain-Sol Sznitman

Offers an account of the non-specialist of the circle of principles, effects & innovations, which grew out within the research of Brownian movement & random stumbling blocks. DLC: Brownian movement methods.

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Kotz, & N. L. Johnson (1992), Breakthroughs in statistics. Vol. I. Foundations and basic theory (pp. 134–174). New York: Springer. 32 M. Borovcnik and R. Kapadia de Finetti, B. (1974). Theory of probability. New York: Wiley. Translated by A. Machi, & A. Smith. de Moivre, A. (1738/1967). , fuller, clearer, and more correct than the first). London: Woodfall. Reprint of 3rd ed. 1967. New York: Chelsea. 1st ed. 1718, London: Pearson. , & Zanghi, N. (2004, August, 24). Bohmian mechanics and quantum field theory.

Teaching statistics in school mathematics. Challenges for teaching and teacher education. A joint ICMI/IASE study: the 18th study. New York: Springer. Bayes, T. (1763). An essay towards solving a problem in the Doctrine of Chances. Philosophical Transactions of the Royal Society, 53, 370–418. Reprinted in E. S. Pearson, & M. G. Kendall (1970), Studies in the history of statistics and probability (Vol. 1, pp. 131–154). London: Griffin. Bellhouse, D. R. (2000). De Vetula: a medieval manuscript containing probability calculations.

At the time, people did not think they were applying a mathematical model to a real situation, or that the model could be inadequate. Their approach sheds light on the historic perception of probability in the eighteenth century. Probability was not yet anchored by a unified theory, nor was Bernoulli’s theorem common-place. Probability was perceived as kind of provability. So the mathematical consequence of getting an infinite value of a game was unacceptable. Much later, Venn formulated a harsh critique.

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