A user's guide to measure theoretic probability
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...
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Format: | E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge
Cambridge University Press
2002
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Schriftenreihe: | Cambridge series on statistical and probabilistic mathematics
8 |
Online-Zugang: | Volltext |
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