[Statistical Computing in C and R] Free ☆ Randall L. Eubank

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  • Hardcover
  • 556
  • Statistical Computing in C and R
  • Randall L. Eubank
  • English
  • 06 August 2020
  • 9781420066500

Download Statistical Computing in C and R

Read & Download ✓ Statistical Computing in C and R 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.

Read & Download ¾ PDF, DOC, TXT or eBook ß Randall L. EubankStatistical Computing in C and R

Read & Download ✓ Statistical Computing in C and R Either language aloneThe 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 programmingFeaturesIncludes numerous student exercises ranging from elementary to challenging Integrates both C and R for the solution of statist.

Randall L. Eubank ß 4 Read

Read & Download ✓ Statistical Computing in C and R Ical 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 environme.