Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Anbieter: Books From California, Simi Valley, CA, USA
paperback. Zustand: Very Good.
Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Anbieter: PBShop.store US, Wood Dale, IL, USA
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
EUR 64,82
Anzahl: 10 verfügbar
In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 58,97
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 360 pages. 8.75x6.00x0.75 inches. In Stock.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 92,81
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 360 pages. 8.75x6.00x0.75 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Anbieter: moluna, Greven, Deutschland
EUR 61,85
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: 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 .
Sprache: Englisch
Verlag: Cambridge University Press Jan 2014, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: 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.
Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 162,92
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Anbieter: Kennys Bookstore, Olney, MD, USA
EUR 225,85
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: 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. . . . . Books ship from the US and Ireland.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 222,40
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 360 pages. 9.00x6.25x1.00 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 1107020409 ISBN 13: 9781107020405
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: 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.