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Introduction to scientific programming and simulation using R /

This volume is not about the application of statistical techniques, but rather shows how to turn algorithms into code.

Bibliographic Details
Main Author: Jones, Owen (Owen Dafydd)
Other Authors: Maillardet, Robert, Robinson, Andrew (Andrew P.)
Format: Book
Language:English
Published: Boca Raton, Fla. : CRC Press, [2009]
Subjects:
Science > Data processing.
Science > Computer simulation.
Stochastic processes > Mathematical models.
Numerical analysis > Data processing.
Computer programming.
R (Computer program language)
Table of Contents:
  • I. Programming. Setting up
  • R as a calculating environment
  • Basic programming
  • I/O: input and output
  • Programming with functions
  • Sophisticated data structures
  • Better graphics
  • Pointers to further programming techniques
  • II. Numerical techniques. Numerical accuracy and program efficiency
  • Root-finding
  • Numerical integration
  • Optimisation
  • III. Probability and statistics. Probability
  • Random variables-- Discrete random variables
  • Continuous random variables
  • Parameter estimation
  • IV. Simulation
  • Monte-Carlo integration
  • Variance reduction
  • Cases studies
  • Student projects
  • Glossary of R commands
  • Programs and functions developed in the text.