Overview
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.
Full Product Details
Author: Randall L. Eubank ,
Ana Kupresanin
Publisher: Taylor & Francis Inc
Imprint: CRC Press Inc
Volume: 2
Dimensions:
Width: 17.80cm
, Height: 3.20cm
, Length: 25.40cm
Weight: 1.200kg
ISBN: 9781420066500
ISBN 10: 1420066501
Pages: 556
Publication Date: 01 December 2011
Audience:
College/higher education
,
Tertiary & Higher Education
Format: Hardback
Publisher's Status: Active
Availability: In Print
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Reviews
Written by experts, this book series reflects the recent rapid growth in the development and application of R, the programming language and software environment for statistical computing and graphics. -Wonderpedia
Author Information
Randall L. Eubank, Ana Kupresanin
