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Librería: moluna, Greven, Alemania
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Publicado por Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Idioma: Inglés
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 60,08
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: Reader's Corner, Inc., Raleigh, NC, Estados Unidos de America
EUR 26,23
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Añadir al carritoSoft cover. Condición: As New. Reprint. This is a fine, as new, 2004 Dover paperback reprint, 348 pages with index, greenish spine.
Publicado por Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Idioma: Inglés
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 61,41
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: Firefly Bookstore, Kutztown, PA, Estados Unidos de America
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Añadir al carritoTrade Paperback. Condición: Used Good. Firefly sells new and used books through our store front. We try to add a detailed description to as many titles as possible. If you have questions regarding this title, please contact us. Photos available on request.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 56,05
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Añadir al carritoPaperback. Condición: Brand New. 360 pages. 8.75x6.00x0.75 inches. In Stock.
Publicado por Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Idioma: Inglés
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 61,28
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Publicado por Cambridge University Press CUP, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Idioma: Inglés
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 78,05
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Añadir al carritoCondición: New. pp. 374 Index.
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Publicado por Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Idioma: Inglés
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 72,87
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 71,48
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Añadir al carritoCondición: New. This concise introduction covers all of the measure theory and probability most useful for statisticians. Originating from the authors own graduate course, it is perfect for a two-term course or for self-study. It is especially useful to graduate students .
Publicado por Cambridge University Press, Cambridge, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Idioma: Inglés
Librería: CitiRetail, Stevenage, Reino Unido
EUR 63,79
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Añadir al carritoPaperback. Condición: new. Paperback. Originating from the authors' own graduate course at the University of North Carolina, this material has been thoroughly tried and tested over many years, making the book perfect for a two-term course or for self-study. It provides a concise introduction that covers all of the measure theory and probability most useful for statisticians, including Lebesgue integration, limit theorems in probability, martingales, and some theory of stochastic processes. Readers can test their understanding of the material through the 300 exercises provided. The book is especially useful for graduate students in statistics and related fields of application (biostatistics, econometrics, finance, meteorology, machine learning, and so on) who want to shore up their mathematical foundation. The authors establish common ground for students of varied interests which will serve as a firm 'take-off point' for them as they specialize in areas that exploit mathematical machinery. This concise introduction covers all of the measure theory and probability most useful for statisticians. Originating from the authors' own graduate course, it is perfect for a two-term course or for self-study. It is especially useful to graduate students in related fields who want to shore up their mathematical foundation. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Publicado por Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Idioma: Inglés
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 81,65
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Añadir al carritoCondición: New. pp. 374 Acknowledgements.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 91,01
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Añadir al carritoPaperback. Condición: Brand New. 360 pages. 8.75x6.00x0.75 inches. In Stock.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 18,03
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Añadir al carritoPAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Publicado por Cambridge University Press Jan 2014, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 96,14
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - Originating from the authors' own graduate course at the University of North Carolina, this material has been thoroughly tried and tested over many years, making the book perfect for a two-term course or for self-study. It provides a concise introduction that covers all of the measure theory and probability most useful for statisticians, including Lebesgue integration, limit theorems in probability, martingales, and some theory of stochastic processes. Readers can test their understanding of the material through the 300 exercises provided. The book is especially useful for graduate students in statistics and related fields of application (biostatistics, econometrics, finance, meteorology, machine learning, and so on) who want to shore up their mathematical foundation. The authors establish common ground for students of varied interests which will serve as a firm 'take-off point' for them as they specialize in areas that exploit mathematical machinery.
Publicado por Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Idioma: Inglés
Librería: Reader's Corner, Inc., Raleigh, NC, Estados Unidos de America
Original o primera edición
EUR 84,45
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Añadir al carritoHardcover. Condición: New. No Jacket. 1st Edition. This is a new hardcover first edition copy, slick red binding, no DJ, 360 pages with index. Photos on request.
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
EUR 26,35
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Añadir al carritopaperback. Condición: 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!
Publicado por Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Idioma: Inglés
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 60,09
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Publicado por Cambridge University Press, Cambridge, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Idioma: Inglés
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 103,08
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Añadir al carritoPaperback. Condición: new. Paperback. Originating from the authors' own graduate course at the University of North Carolina, this material has been thoroughly tried and tested over many years, making the book perfect for a two-term course or for self-study. It provides a concise introduction that covers all of the measure theory and probability most useful for statisticians, including Lebesgue integration, limit theorems in probability, martingales, and some theory of stochastic processes. Readers can test their understanding of the material through the 300 exercises provided. The book is especially useful for graduate students in statistics and related fields of application (biostatistics, econometrics, finance, meteorology, machine learning, and so on) who want to shore up their mathematical foundation. The authors establish common ground for students of varied interests which will serve as a firm 'take-off point' for them as they specialize in areas that exploit mathematical machinery. This concise introduction covers all of the measure theory and probability most useful for statisticians. Originating from the authors' own graduate course, it is perfect for a two-term course or for self-study. It is especially useful to graduate students in related fields who want to shore up their mathematical foundation. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Publicado por Cambridge University Press, Cambridge, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Idioma: Inglés
Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
EUR 73,45
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Añadir al carritoPaperback. Condición: new. Paperback. Originating from the authors' own graduate course at the University of North Carolina, this material has been thoroughly tried and tested over many years, making the book perfect for a two-term course or for self-study. It provides a concise introduction that covers all of the measure theory and probability most useful for statisticians, including Lebesgue integration, limit theorems in probability, martingales, and some theory of stochastic processes. Readers can test their understanding of the material through the 300 exercises provided. The book is especially useful for graduate students in statistics and related fields of application (biostatistics, econometrics, finance, meteorology, machine learning, and so on) who want to shore up their mathematical foundation. The authors establish common ground for students of varied interests which will serve as a firm 'take-off point' for them as they specialize in areas that exploit mathematical machinery. This concise introduction covers all of the measure theory and probability most useful for statisticians. Originating from the authors' own graduate course, it is perfect for a two-term course or for self-study. It is especially useful to graduate students in related fields who want to shore up their mathematical foundation. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Publicado por Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Idioma: Inglés
Librería: Speedyhen, London, Reino Unido
EUR 130,76
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Publicado por Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Idioma: Inglés
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 158,34
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Publicado por Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Idioma: Inglés
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 146,39
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Publicado por Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Idioma: Inglés
Librería: Toscana Books, AUSTIN, TX, Estados Unidos de America
EUR 139,06
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Añadir al carritoPaperback. Condición: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Publicado por Cambridge University Press 2014-01-30, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Idioma: Inglés
Librería: Chiron Media, Wallingford, Reino Unido
EUR 150,74
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Añadir al carritoHardcover. Condición: New.
Publicado por Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Idioma: Inglés
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 153,66
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Publicado por Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Idioma: Inglés
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 175,19
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Añadir al carritoCondición: New. A concise introduction covering all of the measure theory and probability most useful for statisticians. Num Pages: 376 pages, 15 b/w illus. 300 exercises. BIC Classification: PBK; PBT. Category: (P) Professional & Vocational. Dimension: 232 x 161 x 22. Weight in Grams: 722. . 2014. Hardcover. . . . .
Publicado por Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Idioma: Inglés
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 169,98
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Añadir al carritoCondición: As New. Unread book in perfect condition.