User's Guide to Measure Theoretic Probability / Cambridge Series in Statistical and Probabilistic Mathematics (ePub)
(Sprache: Englisch)
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...
sofort als Download lieferbar
eBook (ePub)
Fr. 48.90
inkl. MwSt.
- Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „User's Guide to Measure Theoretic Probability / Cambridge Series in Statistical and Probabilistic Mathematics (ePub)“
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 the luxury of taking a course in measure theory. The core of the book covers the basic topics of independence, conditioning, martingales, convergence in distribution, and Fourier transforms. In addition there are numerous sections treating topics traditionally thought of as more advanced, such as coupling and the KMT strong approximation, option pricing via the equivalent martingale measure, and the isoperimetric inequality for Gaussian processes. The book is not just a presentation of mathematical theory, but is also a discussion of why that theory takes its current form. It will be a secure starting point for anyone who needs to invoke rigorous probabilistic arguments and understand what they mean.
Bibliographische Angaben
- Autor: David Pollard
- 2001, Englisch
- Verlag: Cambridge University Press
- ISBN-10: 1139930966
- ISBN-13: 9781139930963
- Erscheinungsdatum: 10.12.2001
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Grösse: 17 MB
- Mit Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
Kopierschutz
Dieses eBook können Sie uneingeschränkt auf allen Geräten der tolino Familie lesen. Zum Lesen auf sonstigen eReadern und am PC benötigen Sie eine Adobe ID.
Family Sharing
eBooks und Audiobooks (Hörbuch-Downloads) mit der Familie teilen und gemeinsam geniessen. Mehr Infos hier.
Kommentar zu "User's Guide to Measure Theoretic Probability / Cambridge Series in Statistical and Probabilistic Mathematics"
0 Gebrauchte Artikel zu „User's Guide to Measure Theoretic Probability / Cambridge Series in Statistical and Probabilistic Mathematics“
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "User's Guide to Measure Theoretic Probability / Cambridge Series in Statistical and Probabilistic Mathematics".
Kommentar verfassen