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PROBABILITY AND MEASURE (Wiley Series in Probability & Mathematical Statistics: Probability & Mathematical Statistics) - Tapa dura
Sinopsis
PROBABILITY AND MEASURE Third Edition Now in its new third edition, Probability and Measure offers advanced students, scientists, and engineers an integrated introduction to measure theory and probability. Retaining the unique approach of the previous editions, this text interweaves material on probability and measure, so that probability problems generate an interest in measure theory and measure theory is then developed and applied to probability. Probability and Measure provides thorough coverage of probability, measure, integration, random variables and expected values, convergence of distributions, derivatives and conditional probability, and stochastic processes. The Third Edition features an improved treatment of Brownian motion and the replacement of queuing theory with ergodic theory. Like the previous editions, this new edition will be well received by students of mathematics, statistics, economics, and a wide variety of disciplines that require a solid understanding of probability theory.
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Acerca del autor
PATRICK BILLINGSLEY is Professor of Statistics and Mathematics at the University of Chicago. He is the coauthor (with Watson et al.) of Statistics for Management and Economics; (with D. L. Huntsberger) of Elements of Statistical Inference; and the author of Convergence of Probability Measures (Wiley--Interscience), among other works. Dr. Billingsley has also edited the Annals of Probability for the Institute of Mathematical Statistics. He received his PhD in mathematics from Princeton University.
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PROBABILITY AND MEASURE
Third Edition
Now in its new third edition, Probability and Measure offers advanced students, scientists, and engineers an integrated introduction to measure theory and probability. Retaining the unique approach of the previous editions, this text interweaves material on probability and measure, so that probability problems generate an interest in measure theory and measure theory is then developed and applied to probability. Probability and Measure provides thorough coverage of probability, measure, integration, random variables and expected values, convergence of distributions, derivatives and conditional probability, and stochastic processes. The Third Edition features an improved treatment of Brownian motion and the replacement of queuing theory with ergodic theory.
Like the previous editions, this new edition will be well received by students of mathematics, statistics, economics, and a wide variety of disciplines that require a solid understanding of probability theory.
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Probability and Measure
Publicado por
Wiley-Interscience, 1995
ISBN 10: 0471007102
ISBN 13: 9780471007104
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Librería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de America
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Hardcover. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Nº de ref. del artículo: G0471007102I4N00
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Probability and Measure
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John Wiley and Sons Ltd, 1995
ISBN 10: 0471007102
ISBN 13: 9780471007104
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Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Hardback. Condición: Good. PROBABILITY AND MEASURE Third Edition Now in its new third edition, Probability and Measure offers advanced students, scientists, and engineers an integrated introduction to measure theory and probability. Retaining the unique approach of the previous editions, this text interweaves material on probability and measure, so that probability problems generate an interest in measure theory and measure theory is then developed and applied to probability. Probability and Measure provides thorough coverage of probability, measure, integration, random variables and expected values, convergence of distributions, derivatives and conditional probability, and stochastic processes. The Third Edition features an improved treatment of Brownian motion and the replacement of queuing theory with ergodic theory. Like the previous editions, this new edition will be well received by students of mathematics, statistics, economics, and a wide variety of disciplines that require a solid understanding of probability theory. Nº de ref. del artículo: CIN0471007102G
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Probability and Measure
Publicado por
John Wiley and Sons Ltd, 1995
ISBN 10: 0471007102
ISBN 13: 9780471007104
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Librería: World of Books Inc, Montgomery, IL, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
Hardback. Condición: Good. PROBABILITY AND MEASURE Third Edition Now in its new third edition, Probability and Measure offers advanced students, scientists, and engineers an integrated introduction to measure theory and probability. Retaining the unique approach of the previous editions, this text interweaves material on probability and measure, so that probability problems generate an interest in measure theory and measure theory is then developed and applied to probability. Probability and Measure provides thorough coverage of probability, measure, integration, random variables and expected values, convergence of distributions, derivatives and conditional probability, and stochastic processes. The Third Edition features an improved treatment of Brownian motion and the replacement of queuing theory with ergodic theory. Like the previous editions, this new edition will be well received by students of mathematics, statistics, economics, and a wide variety of disciplines that require a solid understanding of probability theory. Nº de ref. del artículo: CIN0471007102G
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Probability and Measure
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Wiley-Interscience, 1995
ISBN 10: 0471007102
ISBN 13: 9780471007104
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Librería: BookHolders, Towson, MD, Estados Unidos de America
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Condición: Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: third ] Publisher: Wiley-Interscience Pub Date: 4/17/1995 Binding: Hardcover Pages: 608 third edition. Nº de ref. del artículo: 6975171
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Probability and Measure
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Wiley-Interscience, 1995
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ISBN 13: 9780471007104
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Librería: Rotary Charity Books, Albert Park, VIC, Australia
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Hardcover. Condición: Fine. No Jacket. 3rd Edition. Now in its new third edition, Probability and Measure offers advanced students, scientists, and engineers an integrated introduction to measure theory and probability. Retaining the unique approach of the previous editions, this text interweaves material on probability and measure, so that probability problems generate an interest in measure theory and measure theory is then developed and applied to probability. Probability and Measure provides thorough coverage of probability, measure, integration, random variables and expected values, convergence of distributions, derivatives and conditional probability, and stochastic processes. The Third Edition features an improved treatment of Brownian motion and the replacement of queuing theory with ergodic theory. Like the previous editions, this new edition will be well received by students of mathematics, statistics, economics, and a wide variety of disciplines that require a solid understanding of probability theory. 593pp. Nº de ref. del artículo: 2277
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Probability and Measure (Wiley Series in Probability and Statistics)
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Wiley-Interscience, 1995
ISBN 10: 0471007102
ISBN 13: 9780471007104
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Librería: medimops, Berlin, Alemania
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Condición: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present. Nº de ref. del artículo: M00471007102-G
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Probability and Measure
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Wiley-Interscience, 1995
ISBN 10: 0471007102
ISBN 13: 9780471007104
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Librería: YESIBOOKSTORE, MIAMI, FL, Estados Unidos de America
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hardcover. Condición: As New. Nº de ref. del artículo: 0471007102-VB
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Probability and Measure
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Hardcover. Condición: new. New Copy. Customer Service Guaranteed. Nº de ref. del artículo: 98Y71_74_0471007102
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