Statistical Computing with R (Chapman & Hall/CRC The R Series)
Super Savings Item! Save 36% on the Statistical Computing with R (Chapman & Hall/CRC The R Series) by Maria L Rizzo at Translate This Blog. Hurry! Limited time offer. Offer valid only while supplies last. Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical
After an overview of computational statistics and an introduction to the R computing environment, the book reviews some basic concepts in probability and classical statistical inference. Each subsequent chapter explores a specific topic in computational statistics. These chapters cover the simulation of random variables from probability distributions, the visualization of multivariate data, Monte Carlo integration and variance reduction methods, Monte Carlo methods in inference, bootstrap and jackknife, permutation tests, Markov chain Monte Carlo (MCMC) methods, and density estimation. The final chapter presents a selection of examples that illustrate the application of numerical methods using R functions.
Focusing on implementation rather than theory, this text serves as a balanced, accessible introduction to computational statistics and statistical computing.
|Manufacturer:||Chapman and Hall/CRC|
|Brand:||Maria L Rizzo|
|Publisher:||Chapman and Hall/CRC|
|Studio:||Chapman and Hall/CRC|
|Item Weight:||1.55 pounds|
|Item Size:||0.94 x 9.21 x 9.21 inches|
|Package Weight:||1.55 pounds|
|Package Size:||6.2 x 1 x 1 inches|