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Statistical Computing with R 2nd Edition Rizzo SolSOLUTIONS MANUAL FOR
Statistical
Computing with
R
by
Maria L. Rizzo
A+ Page 1
, Statistical Computing with R 2nd Edition Rizzo Sol
Boca Raton London New York
Chapman & Hall/CRC is an imprint of the
Taylor & Francis Group, an informa business
CRC Press
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A+ Page 2
, Statistical Computing with R 2nd Edition Rizzo Sol
Contents
Preface 4
Chapter 3. Methods for Generating Random Variables 5
Chapter 4. Visualization of Multivariate Data 24
Chapter 5. Monte Carlo Integration and Variance Reduction 39
Chapter 6. Monte Carlo Methods in Inference 52
Chapter 7. Bootstrap and Jackknife 62
Chapter 8. Permutation Tests 75
Chapter 9. Markov Chain Monte Carlo Methods 83
Chapter 10. Density Estimation 107
Chapter 11. Numerical Methods in R 125
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, Statistical Computing with R 2nd Edition Rizzo Sol
Preface
This manual contains solutions to all of the exercises in the book “Statistical
Computing with R” including R code if programming was required in the problem.
The solution manual was prepared with Sweave so any output shown is unedited.
The chunks of R code in solutions have been extracted using Stangle, and the
resulting source files are available upon request. The solutions have been checked
in the latest release of R (R-2.6.0) with the latest package versions available at that
release date. Also see personal.bgsu.edu/~mrizzo for updates and the R code for
examples in the book. Comments, corrections, and suggestions are always welcome.
Maria L. Rizzo
Department of Mathematics and Statistics
Bowling Green State University
A+ Page 4
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