C6650
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 specic 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.
Statistical Computing in C++ and R
Eubank
Kupresanin
Statistics
Statistical Computing
in C++ and R
Randall L. Eubank
Ana Kupresanin
The R Series
C6650_Cover.indd 1 10/26/11 9:31 AM
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