Probability and Stochastic Processes
-
- Einzelkauf Download ausgewählt
-
Sprache:Englisch
-
eBook Format:PDF
- ePUB 3 112,99 €
- PDF 112,99 € ausgewählt
112,99 €
inkl. MwStBeschreibung
Details
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
07.11.2014
Verlag
Wiley-IEEE PressSeitenzahl
576 (Printausgabe)
Dateigröße
6366 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9781118593202
A comprehensive and accessible presentation of probability
and stochastic processes with emphasis on key theoretical concepts
and real-world applications
With a sophisticated approach, Probability and Stochastic
Processes successfully balances theory and applications in a
pedagogical and accessible format. The book's primary focus
is on key theoretical notions in probability to provide a
foundation for understanding concepts and examples related to
stochastic processes.
Organized into two main sections, the book begins by developing
probability theory with topical coverage on probability measure;
random variables; integration theory; product spaces, conditional
distribution, and conditional expectations; and limit theorems. The
second part explores stochastic processes and related concepts
including the Poisson process, renewal processes, Markov chains,
semi-Markov processes, martingales, and Brownian motion. Featuring
a logical combination of traditional and complex theories as well
as practices, Probability and Stochastic Processes also
includes:
* Multiple examples from disciplines such as business,
mathematical finance, and engineering
* Chapter-by-chapter exercises and examples to allow readers to
test their comprehension of the presented material
* A rigorous treatment of all probability and stochastic
processes concepts
An appropriate textbook for probability and stochastic processes
courses at the upper-undergraduate and graduate level in
mathematics, business, and electrical engineering, Probability
and Stochastic Processes is also an ideal reference for
researchers and practitioners in the fields of mathematics,
engineering, and finance.
and stochastic processes with emphasis on key theoretical concepts
and real-world applications
With a sophisticated approach, Probability and Stochastic
Processes successfully balances theory and applications in a
pedagogical and accessible format. The book's primary focus
is on key theoretical notions in probability to provide a
foundation for understanding concepts and examples related to
stochastic processes.
Organized into two main sections, the book begins by developing
probability theory with topical coverage on probability measure;
random variables; integration theory; product spaces, conditional
distribution, and conditional expectations; and limit theorems. The
second part explores stochastic processes and related concepts
including the Poisson process, renewal processes, Markov chains,
semi-Markov processes, martingales, and Brownian motion. Featuring
a logical combination of traditional and complex theories as well
as practices, Probability and Stochastic Processes also
includes:
* Multiple examples from disciplines such as business,
mathematical finance, and engineering
* Chapter-by-chapter exercises and examples to allow readers to
test their comprehension of the presented material
* A rigorous treatment of all probability and stochastic
processes concepts
An appropriate textbook for probability and stochastic processes
courses at the upper-undergraduate and graduate level in
mathematics, business, and electrical engineering, Probability
and Stochastic Processes is also an ideal reference for
researchers and practitioners in the fields of mathematics,
engineering, and finance.
Unsere Kundinnen und Kunden meinen
Verfassen Sie die erste Bewertung zu diesem Artikel
Helfen Sie anderen Kund*innen durch Ihre Meinung
Kurze Frage zu unserer Seite
Vielen Dank für dein Feedback
Wir nutzen dein Feedback, um unsere Produktseiten zu verbessern. Bitte habe Verständnis, dass wir dir keine Rückmeldung geben können. Falls du Kontakt mit uns aufnehmen möchtest, kannst du dich aber gerne an unseren Kund*innenservice wenden.
zum Kundenservice