Editore: Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Lingua: Inglese
Da: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Paperback. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Editore: Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Lingua: Inglese
Da: WorldofBooks, Goring-By-Sea, WS, Regno Unito
EUR 35,05
Quantità: 3 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Editore: Cambridge University Press, Cambridge, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: 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.
Editore: Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Lingua: Inglese
Da: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Editore: Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Editore: Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Lingua: Inglese
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Condizione: New.
Editore: Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Lingua: Inglese
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 60,74
Quantità: 11 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: Revaluation Books, Exeter, Regno Unito
EUR 55,44
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Aggiungi al carrelloPaperback. Condizione: Brand New. 360 pages. 8.75x6.00x0.75 inches. In Stock.
Editore: Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Editore: Cambridge University Press CUP, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Lingua: Inglese
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 374 Index.
Editore: Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Lingua: Inglese
Da: Toscana Books, AUSTIN, TX, U.S.A.
Paperback. Condizione: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Editore: Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Lingua: Inglese
Da: Majestic Books, Hounslow, Regno Unito
EUR 76,89
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. pp. 374 15 Illus.
Editore: Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Lingua: Inglese
Da: Reader's Corner, Inc., Raleigh, NC, U.S.A.
Prima edizione
Hardcover. Condizione: 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.
Editore: Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Lingua: Inglese
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 78,58
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. pp. 374 Acknowledgements.
Editore: Cambridge University Press, Cambridge, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 56,65
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Da: Revaluation Books, Exeter, Regno Unito
EUR 90,59
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 360 pages. 8.75x6.00x0.75 inches. In Stock.
Editore: Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 71,48
Quantità: 5 disponibili
Aggiungi al carrelloCondizione: 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 .
Editore: Cambridge University Press, Cambridge, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 93,79
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Editore: Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 146,30
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Lingua: Inglese
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 145,11
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Cambridge University Press Jan 2014, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 96,14
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Editore: Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 150,89
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Editore: Cambridge University Press 2014-01-30, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 149,08
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: New.
Editore: Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 150,88
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 169,87
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: Cambridge University Press, Cambridge, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: 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.
Editore: Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Lingua: Inglese
Da: Speedyhen, London, Regno Unito
EUR 129,32
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: NEW.
Editore: Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Lingua: Inglese
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 174,55
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: 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. . . . .
Editore: Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 176,60
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: Cambridge University Press, Cambridge, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 171,16
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.