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Statistical Computing in C++ and R by Randall L. Eubank, Ana Kupresanin (Hardcover, 2011)

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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. Features Includes numerous student exercises ranging from elementary to challenging Integrates 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' website The 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.

Product Identifiers

Publisher
Taylor & Francis Ltd
ISBN-13
9781420066500
eBay Product ID (ePID)
111498309

Product Key Features

Author
Randall L. Eubank, ANA Kupresanin
Publication Name
Statistical Computing in C++ and R
Format
Hardcover
Language
English
Subject
Computer Science
Publication Year
2011
Type
Textbook
Number of Pages
556 Pages

Dimensions

Item Height
254mm
Item Width
178mm
Item Weight
1134g

Additional Product Features

Title_Author
Randall L. Eubank, ANA Kupresanin
Series Title
Chapman & Hall/Crc: the R Series
Country/Region of Manufacture
United States

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Statistical Computing in C++ and R by Randall L. Eubank, Ana Kupresanin (Hardcover, 2011)

About this product

Product Information

Product Identifiers

Product Key Features

Dimensions

Additional Product Features

Best Selling in Adult Learning & University

Permaculture: A Designer's Manual by Bill Mollison (Hardcover, 1988)

Australian Native Bee Book: Keeping Stingless Bee Hives for Pets, Pollination and Sugarbag Honey by Tim Heard (Paperback, 2015)

The Weed Forager's Handbook: A Guide to Edible and Medicinal Weeds in Australia by Adam Grubb, Annie Raser-Rowland (2012, Paperback)

Empire of the Summer Moon: Quanah Parker and the Rise and Fall of the Comanches, the Most Powerful Indian Tribe in American History by S.C. Gwynne (Paperback, 2011)

Botanical Field Guide by Stefan Mager (Fold-out book or chart, 2021)

Linux Basics For Hackers: Getting Started with Networking, Scripting, and Security in Kali by OccupyTheWeb (Paperback, 2018)

The Hundred Years' War on Palestine: A History of Settler Colonial Conquest and Resistance by Rashid I. Khalidi (Paperback, 2020)

Save on Adult Learning & University

The Australian Native Bee Hive Book: Keeping Stingless Sugarbag OATH Tim Heard

Weed Forager's Handbook: A Guide to Edible and Medicinal Weeds in Australia by A

Netter Atlas of Human Anatomy: Classic Regional Approach

NEW The Red Book By Carl Jung Hardcover Free Shipping

The Indoctrinated Brain: How to Successfully Fend Off the Global Attack on Your

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