Statistical Computing with R, Second Edition av Maria L. (Bowling Green State University Ohio USA) Rizzo

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<P>Praise for the First Edition:</P><I><P>". . . the book serves as an excellent tutorial on the R language, providing examples that illustrate programming concepts in the context of practical computational problems. The book will be of great interest for all specialists working on computational statistics and Monte Carlo methods for modeling and simulation." </I>¿ Tzvetan Semerdjiev, <I>Zentralblatt Math</P></I><P></P><P>Computational statistics and statistical computing are two areas within statistics that may be broadly described as computational, graphical, and numerical approaches to solving statistical problems. Like its bestselling predecessor, <B><I>Statistical Computing with R, Second Edition</B></I> covers the traditional core material of these areas with an emphasis on using the R language via an examples-based approach. The new edition is up-to-date with the many advances that have been made in recent years. </P><P></P><B><P>Features</P><UL></B><P><LI>Provides an overview o