Wiley Series in Probability and Statistics: Probability and Measure. Dieser Artikel ist nicht verfügbar.
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Sprache: Englisch
Verlag: John Wiley and Sons, 1995
- Hardcover
- Gebraucht
Anbieter: Anybook.com, Lincoln, Vereinigtes KönigreichAnybook.com
Verkäufer/-in mit 5 Sternen
AbeBooks-Verkäufer/-in seit 22. Dezember 1999
Nicht verfügbar
Hardcover
Zustand: Gebraucht - Befriedigend
EUR 78,28
Artikelbeschreibung vom Verkäufer
This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1050grams, ISBN:9780471007104.
Bestandsnummer des Verkäufers 4948343
- Titel
- Wiley Series in Probability and Statistics: Probability and Measure
- Autor
- Billingsley, Patrick
- Verlag
- John Wiley and Sons
- Veröffentlichungsjahr
- 1995
- Zustand
- Good
- Einband
- Hardcover
- Sprache
- Englisch
- ISBN-10
- 0471007102
- ISBN-13
- 9780471007104
- Ausgabe
- 3. Auflage
- Artikelgewicht
- 1.050 Gramm
- Verkäuferkataloge
- Mathematics
PROBABILITY AND MEASURE
Third Edition
Now in its new third edition, Probability and Measure offers advanced students, scientists, and engineers an integrated introduction to measure theory and probability. Retaining the unique approach of the previous editions, this text interweaves material on probability and measure, so that probability problems generate an interest in measure theory and measure theory is then developed and applied to probability. Probability and Measure provides thorough coverage of probability, measure, integration, random variables and expected values, convergence of distributions, derivatives and conditional probability, and stochastic processes. The Third Edition features an improved treatment of Brownian motion and the replacement of queuing theory with ergodic theory.
Like the previous editions, this new edition will be well received by students of mathematics, statistics, economics, and a wide variety of disciplines that require a solid understanding of probability theory.
Third Edition
Now in its new third edition, Probability and Measure offers advanced students, scientists, and engineers an integrated introduction to measure theory and probability. Retaining the unique approach of the previous editions, this text interweaves material on probability and measure, so that probability problems generate an interest in measure theory and measure theory is then developed and applied to probability. Probability and Measure provides thorough coverage of probability, measure, integration, random variables and expected values, convergence of distributions, derivatives and conditional probability, and stochastic processes. The Third Edition features an improved treatment of Brownian motion and the replacement of queuing theory with ergodic theory.
Like the previous editions, this new edition will be well received by students of mathematics, statistics, economics, and a wide variety of disciplines that require a solid understanding of probability theory.
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Über die Autorin bzw. den Autor
PATRICK BILLINGSLEY is Professor of Statistics and Mathematics at the University of Chicago. He is the coauthor (with Watson et al.) of Statistics for Management and Economics; (with D. L. Huntsberger) of Elements of Statistical Inference; and the author of Convergence of Probability Measures (Wiley-Interscience), among other works. Dr. Billingsley has also edited the Annals of Probability for the Institute of Mathematical Statistics. He received his PhD in mathematics from Princeton University.
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