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 18,25
Cantidad disponible: 1 disponibles
Añadir al carritopaperback. Condición: Very Good.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 59,13
Cantidad disponible: 1 disponibles
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: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 73,64
Cantidad disponible: 6 disponibles
Añadir al carritoCondición: New.
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 76,29
Cantidad disponible: 1 disponibles
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 75,86
Cantidad disponible: 6 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 96,48
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 360 pages. 8.75x6.00x0.75 inches. In Stock.
Idioma: Inglés
Publicado por Cambridge University Press Mär 2014, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 78,16
Cantidad disponible: 2 disponibles
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: 1107652529 ISBN 13: 9781107652521
Librería: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, Alemania
EUR 189,90
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: gut. A Basic Course in Measure and Probability: Theory For Applications In deutscher Sprache. pages.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Librería: moluna, Greven, Alemania
EUR 67,34
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: 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 .