R 도서

Simulation and Inference for Stochastic Differential Equations : With R Examples Paperback (With R Examples)

This book covers a highly relevant and timely topic that is of wide interest, especially in finance, engineering and computational biology. The introductory material on simulation ...

A First Course in Statistical Programming with R

This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements...

Analyzing Linguistic Data Paperback (A Practical Introduction to Statistics Using R)

A straightforward introduction to the statistical analysis of language, designed for those with a non-mathematical background. Using the leading statistics programme 'R', the reade...

A First Course in Statistical Programming With R Paperback

Learn programming in the language you want: R! Until now a gap has separated generalised introductory computer programming and the application of these programming skills specifica...

Interactive and Dynamic Graphics for Data Analysis: With R and GGobi (With R and GGobi)

This richly illustrated book describes the use of interactive and dynamic graphics as part of multidimensional data analysis. Chapters include clustering, supervised classification...

Bayesian Computation with R 반양장

There has been a dramatic growth in the development and application of Bayesian inferential methods. Some of this growth is due to the availability of powerful simulation-based alg...

Generalized Additive Models (An Introduction with R)

Generalized Additive Models: An Introduction with R imparts a thorough understanding of the theory and practical applications of GAMs and related advanced models, enabling informed...

Analysis of Integrated And Co-integrated Time Series With R Paperback

Extending the Linear Model with R (Generalized Linear, Mixed Effects and Nonparametric Regression Models)

Linear models form the foundation of a vast range of statistical methodologies. This volume surveys the techniques that grow from the regression model, presenting three extensions ...