Probability Axioms
Lambert M. Surhone, Mariam T. Tennoe, Susan F. Henssonow
High Quality Content by WIKIPEDIA articles! In probability theory, the probability P of some event E, denoted P(E), is usually defined in such a way that P satisfies the Kolmogorov axioms, named after Andrey Kolmogorov, which are described below. These assumptions can be summarised as: Let ( , F, P) be a measure space with P( )=1. Then ( , F, P) is a probability space, with sample space , event space F and probability measure P. An alternative approach to formalising probability, favoured by some Bayesians, is given by Cox's theorem. This is the assumption of unit measure: that the probability that some elementary event in the entire sample space will occur is 1. More specifically, there are no elementary events outside the sample space....
ISBN: 978-6-1336-7253-6
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Книга по требованию
Дата выхода: июль 2011