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A User's Guide to Measure Theoretic Probability

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A User's Guide to Measure Theoretic Probability - Pollard, David
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Rigorous probabilistic arguments, built on the foundation of measure theory introduced eighty years ago by Kolmogorov, have invaded many fields. Students of statistics, biostatistics, econometrics, finance, and other changing disciplines now find themselves needing to absorb theory beyond what they might have learned in the typical undergraduate, calculus-based probability course. This 2002 book grew from a one-semester course offered for many years to a mixed audience of graduate and undergraduate students who have not had ...

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A User's Guide to Measure Theoretic Probability 2001, Cambridge University Press, Cambridge

ISBN-13: 9780521002899

Trade paperback

A User's Guide to Measure Theoretic Probability 2001, Cambridge University Press, Cambridge

ISBN-13: 9780521802420

Hardcover