Stochastic processes : theory for applications

Robert G. Gallager

"Basic underlying principles and axioms are made clear from the start, and new topics are developed as needed, encouraging and enabling students to develop an instinctive grasp of the fundamentals. Mathematical proofs are made easy for students to understand and remember, helping them quickly learn how to choose and apply the best possible models to real-world situations"--

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Year of publication:	2013 ; 1. publ.
Authors:	Gallager, Robert G.
Publisher:	Cambridge [u.a.] : Cambridge Univ. Press
Subject:	Stochastischer Prozess \| Stochastic process
Description of contents:	Table of Contents [gbv.de] ; Description [zbmath.org]

Extent:	XX, 536 S. graph. Darst.
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Lehrbuch ; Textbook
Language:	English
Notes:	Hier auch später erschienene, unveränderte Nachdrucke Machine generated contents note: 1. Introduction and review of probability; 2. Poisson processes; 3. Gaussian random vectors and processes; 4. Finite-state Markov chains; 5. Renewal processes; 6. Countable-state Markov chains; 7. Markov processes with countable state spaces; 8. Detection, decisions, and hypothesis testing; 9. Random walks, large deviations, and martingales; 10. Estimation.
ISBN:	978-1-107-03975-9
Classification:	Wahrscheinlichkeitsrechnung
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10010220664