
Analysis and Probability
Aurel Spataru(Author)
Elsevier (Publisher)
Published on 11. January 2013
Book
Hardback
404 pages
978-0-12-401665-1 (ISBN)
Description
Probability theory is a rapidly expanding field and is used in many areas of science and technology. Beginning from a basis of abstract analysis, this mathematics book develops the knowledge needed for advanced students to develop a complex understanding of probability. The first part of the book systematically presents concepts and results from analysis before embarking on the study of probability theory. The initial section will also be useful for those interested in topology, measure theory, real analysis and functional analysis. The second part of the book presents the concepts, methodology and fundamental results of probability theory. Exercises are included throughout the text, not just at the end, to teach each concept fully as it is explained, including presentations of interesting extensions of the theory. The complete and detailed nature of the book makes it ideal as a reference book or for self-study in probability and related fields.
Reviews / Votes
"...The subject of this book is modern probability theory and it gives a full self-contained presentation of fundamental results within the area...it presents the theory of probability from a measure-theoretic point of view." --MathSciNet, Analysis and Probability"This monograph is a self-contained and compactly written text book on probability theory for graduate students...the textbook gives a rigorous...presentation of the fundamental results in probability theory with an emphasis on the interaction between analysis and probability." --Zentralblatt MATH, 1278.60002
"Spataru presents a probability theory text for graduate students who have a solid background in abstract analysis, which is required because he develops probability theory from a measure-theoretic perspective." --Reference & Research Book News, October 2013
More details
Language
English
Place of publication
United States
Target group
College/higher education
Students and researchers in probability theory, topology, measure theory, real and functional analysis and related fields.
Product notice
Laminated cover
Dimensions
Height: 236 mm
Width: 156 mm
Thickness: 38 mm
Weight
772 gr
ISBN-13
978-0-12-401665-1 (9780124016651)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions


Person
Author
Institute of Mathematical Statistics and Applied Mathematics, Casa Academiei Romane, Bucharest, Romania
Content
Chapter 1: Elements of Set TheoryChapter 2: Topological PreliminariesChapter 3: Measure SpacesChapter 4: The IntegralChapter 5: Measures on Product -algebrasChapter 6: Elementary Notions in Probability TheoryChapter 7: Distribution Functions and Characteristic FunctionsChapter 8: Probabilities on Metric SpacesChapter 9: Central Limit ProblemChapter 10: Sums of Independent Random VariablesChapter 11: ConditioningChapter 12: Ergodicity, Mixing and Stationarity