Premium
On stochastic dependence
Author(s) -
Meyer Joerg M.
Publication year - 2017
Publication title -
teaching statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.425
H-Index - 13
eISSN - 1467-9639
pISSN - 0141-982X
DOI - 10.1111/test.12147
Subject(s) - transitive relation , intuition , mathematical economics , mathematics , econometrics , independence (probability theory) , stochastic process , economics , statistical physics , epistemology , statistics , philosophy , combinatorics , physics
Summary The contrary of stochastic independence splits up into two cases: pairs of events being favourable or being unfavourable. Examples show that both notions have quite unexpected properties, some of them being opposite to intuition. For example, transitivity does not hold. Stochastic dependence is also useful to explain cases of Simpson's paradox.