Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
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Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
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Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
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paperback. Condition: Very Good.
Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
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Condition: Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
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Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketPaperback. Condition: Brand New. 360 pages. 8.75x6.00x0.75 inches. In Stock.
Language: English
Published by Cambridge University Press, Cambridge, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: 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.
Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Seller: Reader's Corner, Inc., Raleigh, NC, U.S.A.
First Edition
Hardcover. Condition: 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.
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Add to basketPaperback. Condition: Brand New. 360 pages. 8.75x6.00x0.75 inches. In Stock.
Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Seller: moluna, Greven, Germany
Condition: 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 .
Language: English
Published by Cambridge University Press Jan 2014, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: 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.
Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
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Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
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Language: English
Published by Cambridge University Press, Cambridge, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
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Hardcover. Condition: 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.
Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 189.05
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Add to basketCondition: New. In.
Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketHardcover. Condition: Brand New. 360 pages. 9.00x6.25x1.00 inches. In Stock.
Language: English
Published by Cambridge University Press CUP, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 374 Index.
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketHardcover. Condition: Brand New. 360 pages. 9.00x6.25x1.00 inches. In Stock.
Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 353.85
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Add to basketCondition: As New. Unread book in perfect condition.
Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
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Add to basketHardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
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Language: English
Published by Cambridge University Press, Cambridge, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
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Add to basketHardcover. Condition: 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Seller: moluna, Greven, Germany
US$ 201.69
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 .
Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Seller: Majestic Books, Hounslow, United Kingdom
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Add to basketCondition: New. Print on Demand pp. 374 15 Illus.