A User's Guide to Measure Theoretic Probability: 8 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 8) - Softcover
Book 5 of 46: Cambridge Series in Statistical and Probabilistic Mathematics
Synopsis
This 2002 book is a secure starting point for anyone who needs to invoke rigorous probabilistic arguments and understand what they mean.
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Review
'A really useful book ...'. EMS Newsletter
Book Description
This 2002 book offers a rigorous probability course for a mixed audience - statisticians, biostatisticians, mathematicians, economists, and students of finance - at the advanced undergraduate/introductory graduate level, without measure theory as a prerequisite. It covers the basic topics of independence, conditioning, martingales, convergence in distribution, and Fourier transforms plus more advanced topics.
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A User's Guide to Measure Theoretic Probability (Cambridge Series in Statistical and Probabilistic Mathematics)
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Cambridge University Press, 2001
ISBN 10: 0521002893
ISBN 13: 9780521002899
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A USER'S GUIDE TO MEASURE THEORETIC PROBABILITY
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Cambridge University Press, 2001
ISBN 10: 0521002893
ISBN 13: 9780521002899
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Softcover. Condition: Near Fine. Clean, tight and bright. Due to size, ships wwithin US only and only by media rate mail. ; tall 8vo 9" - 10" tall; 366 pp; Cambridge Series In Statistical And Probabilistic Mathematics, Series Number 8. Seller Inventory # 55571
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A User's Guide to Measure Theoretic Probability (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 8)
Published by
Cambridge University Press, 2001
ISBN 10: 0521002893
ISBN 13: 9780521002899
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A User's Guide to Measure Theoretic Probability (Cambridge Series in Statistical and Probabilistic Mathematics)
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Cambridge University Press, 2001
ISBN 10: 0521002893
ISBN 13: 9780521002899
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Condition: Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: first ] Publisher: Cambridge University Press Pub Date: 12/10/2001 Binding: Paperback Pages: 366 first edition. Seller Inventory # 6895432
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A User's Guide to Measure Theoretic Probability
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ISBN 10: 0521002893
ISBN 13: 9780521002899
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User's Guide to Measure Theoretic Probability
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User's Guide to Measure Theoretic Probability
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ISBN 10: 0521002893
ISBN 13: 9780521002899
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A User's Guide to Measure Theoretic Probability
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A User's Guide to Measure Theoretic Probability (Paperback)
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Cambridge University Press, Cambridge, 2001
ISBN 10: 0521002893
ISBN 13: 9780521002899
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Paperback. Condition: new. Paperback. Rigorous probabilistic arguments, built on the foundation of measure theory introduced seventy years ago by Kolmogorov, have invaded many fields. Students of statistics, biostatistics, econometrics, finance, and other changing disciplines now find themselves needing to absorb theory beyond what they might have learned in the typical undergraduate, calculus-based probability course. This book grew from a one-semester course offered for many years to a mixed audience of graduate and undergraduate students who have not had the luxury of taking a course in measure theory. The core of the book covers the basic topics of independence, conditioning, martingales, convergence in distribution, and Fourier transforms. In addition there are numerous sections treating topics traditionally thought of as more advanced, such as coupling and the KMT strong approximation, option pricing via the equivalent martingale measure, and the isoperimetric inequality for Gaussian processes. The book is not just a presentation of mathematical theory, but is also a discussion of why that theory takes its current form. It will be a secure starting point for anyone who needs to invoke rigorous probabilistic arguments and understand what they mean. This book grew from a one-semester course offered for many years to a mixed audience of graduate and undergraduate students who have not had the luxury of taking a course in measure theory. The core of the book covers the basic topics of independence, conditioning, martingales, convergence in distribution, and Fourier transforms. In addition there are numerous sections treating topics traditionally thought of as more advanced, such as coupling and the KMT strong approximation, option pricing via the equivalent martingale measure, and the isoperimetric inequality for Gaussian processes. The book is not just a presentation of mathematical theory, but is also a discussion of why that theory takes its current form. It will be a secure starting point for anyone who needs to invoke rigorous probabilistic arguments and understand what they mean. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780521002899