Measures and probabilities /

This book is intended to be an introductory, yet sophisticated, treatment of measure theory. It should provide an in-depth reference for the practicing mathematician. It is hoped that advanced students as well as instructors will find it useful. The first part of the book should prove useful to both...

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Bibliographic Details
Main Author: Simonnet, Michel
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York : Springer, [1996]
Series:Universitext
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:This book is intended to be an introductory, yet sophisticated, treatment of measure theory. It should provide an in-depth reference for the practicing mathematician. It is hoped that advanced students as well as instructors will find it useful. The first part of the book should prove useful to both analysts and probabilists. One may treat the second and third parts as an introduction to the theory of probability, or use the fourth part as an introduction to analysis. The treatment is for the most part self-contained. Other than familiarity with general topology, some functional analysis and a certain degree of mathematical sophistication, little is required for profitable reading of this text. At the end of each chapter, exercises are provided which are designed to present some additional material and examples.
Item Description:Includes indexes.
Electronic resource.
Physical Description:1 online resource (xiii, 510 pages)
ISBN:9781461240129 (electronic bk.)
1461240123 (electronic bk.)