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hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Aggiungi al carrelloPaperback. Condizione: Brand New. 556 pages. 10.00x7.00x1.34 inches. In Stock.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Statistical Computing in C++ and R | Randall L. Eubank (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2023 | Taylor & Francis | EAN 9781032477619 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Da: Books Puddle, New York, NY, U.S.A.
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 500 pages. 10.00x7.20x1.30 inches. In Stock.
Editore: Chapman & Hall, 2011
Da: The Book Corner, Beaverton, OR, U.S.A.
hardcover. Condizione: Good. Hardback. No dust jacket. Cover has signs of wear; edges and corners in good shape. Spine is tight. Pages are clean, no markings, notes or stains. Name written on inside of back cover. Ships from Friends bookstore to benefit Beaverton (Oregon) library.
Lingua: Inglese
Editore: Taylor & Francis, Chapman And Hall/CRC, 2023
ISBN 10: 103247761X ISBN 13: 9781032477619
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 61,20
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -With the advancement of statistical methodology inextricably linked to the use of computers, new methodological ideas must be translated into usable code and then numerically evaluated relative to competing procedures. In response to this, Statistical Computing in C++ and R concentrates on the writing of code rather than the development and study of numerical algorithms per se. The book discusses code development in C++ and R and the use of these symbiotic languages in unison. It emphasizes that each offers distinct features that, when used in tandem, can take code writing beyond what can be obtained from either language alone. The text begins with some basics of object-oriented languages, followed by a 'boot-camp' on the use of C++ and R. The authors then discuss code development for the solution of specific computational problems that are relevant to statistics including optimization, numerical linear algebra, and random number generation. Later chapters introduce abstract data structures (ADTs) and parallel computing concepts. The appendices cover R and UNIX Shell programming.FeaturesIncludes numerous student exercises ranging from elementary to challengingIntegrates both C++ and R for the solution of statistical computing problems Uses C++ code in R and R functions in C++ programs Provides downloadable programs, available from the authors' websiteThe translation of a mathematical problem into its computational analog (or analogs) is a skill that must be learned, like any other, by actively solving relevant problems. The text reveals the basic principles of algorithmic thinking essential to the modern statistician as well as the fundamental skill of communicating with a computer through the use of the computer languages C++ and R. The book lays the foundation for original code development in a research environment. 556 pp. Englisch.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 83,23
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Da: moluna, Greven, Germania
EUR 65,24
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Randall L. Eubank, Ana KupresaninWith the advancement of statistical methodology inextricably linked to the use of computers, new methodological ideas must be translated into usable code and then numerically evaluated relative to competing.
Lingua: Inglese
Editore: Taylor & Francis, Chapman And Hall/CRC, 2023
ISBN 10: 103247761X ISBN 13: 9781032477619
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 72,96
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - With the advancement of statistical methodology inextricably linked to the use of computers, new methodological ideas must be translated into usable code and then numerically evaluated relative to competing procedures. In response to this, Statistical Computing in C++ and R concentrates on the writing of code rather than the development and study of numerical algorithms per se. The book discusses code development in C++ and R and the use of these symbiotic languages in unison. It emphasizes that each offers distinct features that, when used in tandem, can take code writing beyond what can be obtained from either language alone. The text begins with some basics of object-oriented languages, followed by a 'boot-camp' on the use of C++ and R. The authors then discuss code development for the solution of specific computational problems that are relevant to statistics including optimization, numerical linear algebra, and random number generation. Later chapters introduce abstract data structures (ADTs) and parallel computing concepts. The appendices cover R and UNIX Shell programming.FeaturesIncludes numerous student exercises ranging from elementary to challengingIntegrates both C++ and R for the solution of statistical computing problems Uses C++ code in R and R functions in C++ programs Provides downloadable programs, available from the authors' websiteThe translation of a mathematical problem into its computational analog (or analogs) is a skill that must be learned, like any other, by actively solving relevant problems. The text reveals the basic principles of algorithmic thinking essential to the modern statistician as well as the fundamental skill of communicating with a computer through the use of the computer languages C++ and R. The book lays the foundation for original code development in a research environment.
Da: Majestic Books, Hounslow, Regno Unito
EUR 137,88
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 556 20 Illus. This item is printed on demand.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 158,13
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 151,61
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Aggiungi al carrelloHRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: moluna, Greven, Germania
EUR 113,56
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Randall L. Eubank, Ana KupresaninWith the advancement of statistical methodology inextricably linked to the use of computers, new methodological ideas must be translated into usable code and then numerically evaluated relative to competing.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 188,85
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Parallel processing can be ideally suited for the solving of more complex problems in statistical computing. This book discusses code development in C++ and R, before going beyond to look at the valuable use of these two languages in unison. It covers linear equation solution with regression and linear models motivation, optimization with maximum likelihood and nonlinear least squares motivation, and random number generation. While the text does require a working knowledge of both the basic concepts in statistics and experience in programming, it does not require knowledge specific to C++ or R.