Counterexamples in Probability

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Counterexamples (in the usual mathematical sense) are powerful tools of mathematical theory. In this book the author gives more than 250 drawn from the whole field of probability theory and stochastic processes. The counterexamples are selected for their interest and for the importance of the theory they illustrate. Each section starts with a summary of definitions and main results, followed by counterexamples ordered by content and difficulty. Full references and additional sources are given.

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Contents

CLASSES OF RANDOM EVENTS
3
INDEPENDENCE OF RANDOM EVENTS
12
DISTRIBUTION FUNCTIONS OF RANDOM
25
Copyright

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