Modern Applied Statistics with S (Statistics and Computing),New

Modern Applied Statistics with S (Statistics and Computing),New

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S is a powerful environment for the statistical and graphical analysis of data. It provides the tools to implement many statistical ideas that have been made possible by the widespread availability of workstations having good graphics and computational capabilities. This book is a guide to using S environments to perform statistical analyses and provides both an introduction to the use of S and a course in modern statistical methods. Implementations of S are available commercially in SPLUS(R) workstations and as the Open Source R for a wide range of computer systems. The aim of this book is to show how to use S as a powerful and graphical data analysis system. Readers are assumed to have a basic grounding in statistics, and so the book is intended for wouldbe users of SPLUS or R and both students and researchers using statistics. Throughout, the emphasis is on presenting practical problems and full analyses of real data sets. Many of the methods discussed are state of the art approaches to topics such as linear, nonlinear and smooth regression models, treebased methods, multivariate analysis, pattern recognition, survival analysis, time series and spatial statistics. Throughout modern techniques such as robust methods, nonparametric smoothing and bootstrapping are used where appropriate. This fourth edition is intended for users of SPLUS 6.0 or R 1.5.0 or later. A substantial change from the third edition is updating for the current versions of SPLUS and adding coverage of R. The introductory material has been rewritten to emphasis the import, export and manipulation of data. Increased computational power allows even more computerintensive methods to be used, and methods such as GLMMs,

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Frequently Asked Questions

  • Q: What topics are covered in 'Modern Applied Statistics with S'? A: The book covers a range of statistical methods including linear and nonlinear regression models, multivariate analysis, survival analysis, time series, and spatial statistics. It also emphasizes modern techniques such as robust methods and non-parametric smoothing.
  • Q: Who is the target audience for this book? A: This book is intended for users of S-PLUS or R, including students and researchers who have a basic understanding of statistics and want to learn practical applications of statistical methods.
  • Q: What is the difference between S-PLUS and R as mentioned in the book? A: S-PLUS is a commercial software package, while R is an open-source alternative. The book provides guidance on using both environments for statistical analysis.
  • Q: How many pages does the book have? A: The book contains 510 pages, providing comprehensive coverage of statistical methods and applications.
  • Q: What edition is this book and what are its publication details? A: This is the fourth edition of 'Modern Applied Statistics with S,' published on August 12, 2002.
  • Q: Is the book suitable for beginners in statistics? A: While the book assumes a basic grounding in statistics, it serves as a guide for both beginners and those looking to apply statistical methods using S environments.
  • Q: Does the book include real data sets for analysis? A: Yes, the book emphasizes practical problems and includes full analyses of real data sets to illustrate the statistical methods discussed.
  • Q: What formats is the book available in? A: The book is available in hardcover format.
  • Q: Are there any updates in the fourth edition compared to previous editions? A: The fourth edition includes updates for current versions of S-PLUS and coverage of R, along with rewritten introductory material on data import, export, and manipulation.
  • Q: What is the author's background? A: The author, W.N. Venables, is known for his contributions to statistical computing and has extensive experience in developing statistical software and methods.