Stochastic Convergence (PDF)
(Sprache: Englisch)
Stochastic Convergence, Second Edition covers the theoretical aspects of random power series dealing with convergence problems.
This edition contains eight chapters and starts with an introduction to the basic concepts of stochastic convergence. The...
This edition contains eight chapters and starts with an introduction to the basic concepts of stochastic convergence. The...
sofort als Download lieferbar
eBook (pdf)
Fr. 82.90
inkl. MwSt.
- Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Stochastic Convergence (PDF)“
Stochastic Convergence, Second Edition covers the theoretical aspects of random power series dealing with convergence problems.
This edition contains eight chapters and starts with an introduction to the basic concepts of stochastic convergence. The succeeding chapters deal with infinite sequences of random variables and their convergences, as well as the consideration of certain sets of random variables as a space. These topics are followed by discussions of the infinite series of random variables, specifically the lemmas of Borel-Cantelli and the zero-one laws. Other chapters evaluate the power series whose coefficients are random variables, the stochastic integrals and derivatives, and the characteristics of the normal distribution of infinite sums of random variables. The last chapter discusses the characterization of the Wiener process and of stable processes.
This book will prove useful to mathematicians and advance mathematics students.
This edition contains eight chapters and starts with an introduction to the basic concepts of stochastic convergence. The succeeding chapters deal with infinite sequences of random variables and their convergences, as well as the consideration of certain sets of random variables as a space. These topics are followed by discussions of the infinite series of random variables, specifically the lemmas of Borel-Cantelli and the zero-one laws. Other chapters evaluate the power series whose coefficients are random variables, the stochastic integrals and derivatives, and the characteristics of the normal distribution of infinite sums of random variables. The last chapter discusses the characterization of the Wiener process and of stable processes.
This book will prove useful to mathematicians and advance mathematics students.
Bibliographische Angaben
- Autor: Eugene Lukacs
- 2014, 2. Auflage, 214 Seiten, Englisch
- Herausgegeben: Z. W. Birnbaum, E. Lukacs
- Verlag: Elsevier Science & Techn.
- ISBN-10: 1483218589
- ISBN-13: 9781483218588
- Erscheinungsdatum: 03.07.2014
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Grösse: 21 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.
Kommentar zu "Stochastic Convergence"
0 Gebrauchte Artikel zu „Stochastic Convergence“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Stochastic Convergence".
Kommentar verfassen