This book was first published in 2003. Derived from extensive teaching experience in Paris, this book presents around 100 exercises in probability. The exercises cover measure theory and probability, independence and conditioning, Gaussian variables, distributional computations, convergence of rando...

Ausführliche Beschreibung

Bibliographische Detailangaben

1. Verfasser:	Chaumont, L. (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Cambridge Cambridge University Press 2003
Schriftenreihe:	Cambridge series on statistical and probabilistic mathematics 13
Schlagworte:	Probabilities Probabilities / Problems, exercises, etc Wahrscheinlichkeitsrechnung Beispielsammlung
Online-Zugang:	BSB01 FHN01 URL des Erstveröffentlichers
Zusammenfassung:	This book was first published in 2003. Derived from extensive teaching experience in Paris, this book presents around 100 exercises in probability. The exercises cover measure theory and probability, independence and conditioning, Gaussian variables, distributional computations, convergence of random variables, and random processes. For each exercise the authors have provided detailed solutions as well as references for preliminary and further reading. There are also many insightful notes to motivate the student and set the exercises in context. Students will find these exercises extremely useful for easing the transition between simple and complex probabilistic frameworks. Indeed, many of the exercises here will lead the student on to frontier research topics in probability. Along the way, attention is drawn to a number of traps into which students of probability often fall. This book is ideal for independent study or as the companion to a course in advanced probability theory
Beschreibung:	Title from publisher's bibliographic system (viewed on 05 Oct 2015)
Beschreibung:	1 online resource (xv, 236 pages)
ISBN:	9780511610813
DOI:	10.1017/CBO9780511610813