A User's Guide to Measure Theoretic Probability - Brossura
Libro 5 di 46: Cambridge Series in Statistical and Probabilistic Mathematics
Sinossi
This 2002 book is a secure starting point for anyone who needs to invoke rigorous probabilistic arguments and understand what they mean.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Recensione
'A really useful book ...'. EMS Newsletter
Descrizione del libro
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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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A USER'S GUIDE TO MEASURE THEORETIC PROBABILITY
Editore:
Cambridge University Press, 2001
ISBN 10: 0521002893
ISBN 13: 9780521002899
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Softcover. Condizione: Near Fine. Clean, tight and bright. Digital printing. 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. Codice articolo 55571
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A User's Guide to Measure Theoretic Probability (Cambridge Series in Statistical and Probabilistic Mathematics)
Editore:
Cambridge University Press, 2001
ISBN 10: 0521002893
ISBN 13: 9780521002899
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Paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Codice articolo S_418557292
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A User's Guide to Measure Theoretic Probability
Editore:
Cambridge University Press, 2001
ISBN 10: 0521002893
ISBN 13: 9780521002899
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Condizione: good. Has a sturdy binding with some shelf wear. May have some markings or highlighting. Used copies may not include access codes or Cd's. Slight bending may be present. Codice articolo GBV.0521002893.G
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A User's Guide to Measure Theoretic Probability (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 8)
Editore:
Cambridge University Press, 2001
ISBN 10: 0521002893
ISBN 13: 9780521002899
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Soft cover
Prima edizione
Da: Reader's Corner, Inc., Raleigh, NC, U.S.A.
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Soft cover. Condizione: As New. 1st Edition. This is a fine, as new, obviously unread, first edition paperback copy, blue spine, 351 pages with index. Codice articolo 105275
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A User's Guide to Measure Theoretic Probability (Cambridge Series in Statistical and Probabilistic Mathematics)
Editore:
Cambridge University Press, 2001
ISBN 10: 0521002893
ISBN 13: 9780521002899
Antico o usato
Brossura
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Condizione: 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. Codice articolo 6895432
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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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Condizione: As New. Unread book in perfect condition. Codice articolo 694123
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A User's Guide to Measure Theoretic Probability (Paperback)
Editore:
Cambridge University Press, Cambridge, 2001
ISBN 10: 0521002893
ISBN 13: 9780521002899
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Paperback. Condizione: 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 offers a rigorous probability course for a mixed audience - statisticians, biostatisticians, mathematicians, economists, and students of finance. It covers the basic topics of independence, conditioning, martingales, convergence in distribution, and Fourier transforms plus more advanced topics. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780521002899
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A User's Guide to Measure Theoretic Probability
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Condizione: New. Codice articolo I-9780521002899
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A User's Guide to Measure Theoretic Probability
Editore:
Cambridge University Press, GB, 2001
ISBN 10: 0521002893
ISBN 13: 9780521002899
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Da: Rarewaves.com USA, London, LONDO, Regno Unito
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Paperback. Condizione: New. 1st. Rigorous probabilistic arguments, built on the foundation of measure theory introduced eighty 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 2002 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. Codice articolo LU-9780521002899
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