Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Librería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de America
EUR 30,29
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Añadir al carritoPaperback. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Librería: Books From California, Simi Valley, CA, Estados Unidos de America
EUR 33,94
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Añadir al carritopaperback. Condición: Very Good.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Librería: WorldofBooks, Goring-By-Sea, WS, Reino Unido
EUR 34,74
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Añadir al carritoPaperback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 60,76
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 59,57
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
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EUR 61,84
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 56,45
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Añadir al carritoPaperback. Condición: Brand New. 360 pages. 8.75x6.00x0.75 inches. In Stock.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Librería: Toscana Books, AUSTIN, TX, Estados Unidos de America
EUR 68,87
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Añadir al carritoPaperback. Condición: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 72,82
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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.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 72,25
Cantidad disponible: 6 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Cambridge University Press CUP, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 77,28
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Añadir al carritoCondición: New. pp. 374 Index.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Librería: Majestic Books, Hounslow, Reino Unido
EUR 76,20
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Añadir al carritoCondición: New. pp. 374 15 Illus.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Librería: Reader's Corner, Inc., Raleigh, NC, Estados Unidos de America
Original o primera edición
EUR 83,72
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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.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 77,68
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Añadir al carritoCondición: New. pp. 374 Acknowledgements.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 89,83
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Añadir al carritoPaperback. Condición: Brand New. 360 pages. 8.75x6.00x0.75 inches. In Stock.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Librería: CitiRetail, Stevenage, Reino Unido
EUR 65,42
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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.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Librería: moluna, Greven, Alemania
EUR 71,48
Cantidad disponible: 5 disponibles
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 .
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 102,99
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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.
Idioma: Inglés
Publicado por Cambridge University Press 2014-01-30, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Librería: Chiron Media, Wallingford, Reino Unido
EUR 122,63
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Añadir al carritoHardcover. Condición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 125,96
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Añadir al carritoCondición: New. In.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 141,99
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 143,95
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 162,15
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press Jan 2014, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
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.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 146,34
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 3 working days.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 168,52
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 172,23
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. 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.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Librería: Speedyhen, London, Reino Unido
EUR 131,68
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: NEW.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 170,09
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 174,55
Cantidad disponible: 1 disponibles
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. . . . .