Modern Applied Statistics with S, 4/e

Description

S-PLUS is a powerful environment for the statistical and graphical analysis of data. It provides the tools to implement many statistical ideas which have been made possible by the widespread availability of workstations having good graphics and computational capabilities. This book is a guide to using S-PLUS to perform statistical analyses and provides both an introduction to the use of S-PLUS and a course in modern statistical methods. S-PLUS is available for both Windows and UNIX workstations, and both versions are covered in depth. The aim of the book is to show how to use S-PLUS as a powerful and graphical data analysis system. Readers are assumed to have a basic grounding in statistics, and so the book in intended for would-be users of S-PLUS 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, tree-based methods, multivariate analysis and pattern recognition, survival analysis, time series and spatial statistics. Throughout, modern techniques such as robust methods, non-parametric smoothing, and bootstrapping are used where appropriate. This third edition is intended for users of S-PLUS 4.5, 5.0, 2000 or later, although S-PLUS 3.3/4 are also considered. The major change from the second edition is coverage of the current versions of S-PLUS. The material has been extensively rewritten using new examples and the latest computationally intensive methods. The companion volume on S Programming will provide an in-depth guide for those writing software in the S language. The authors have written several software libraries that enhance S-PLUS; these and all the datasets used are available on the Internet in versions for Windows and UNIX. There are extensive on-line complements covering advanced material, user-contributed extensions, further exercises, and new features of S-PLUS as they are introduced. Dr. Venables is now Statistician with CSRIO in Queensland, having been at the Department of Statistics, University of Adelaide, for many years previously. He has given many short courses on S-PLUS in Australia, Europe, and the USA. Professor Ripley holds the Chair of Applied Statistics at the University of Oxford, and is the author of four other books on spatial statistics, simulation, pattern recognition, and neural networks. 

S-PLUS是一個用於統計和圖形分析的強大環境。它提供了實現許多統計思想的工具，這些思想得益於具有良好圖形和計算能力的工作站的廣泛可用性。本書是使用S-PLUS進行統計分析的指南，既介紹了S-PLUS的使用，又提供了現代統計方法的課程。S-PLUS可用於Windows和UNIX工作站，並且兩個版本都有詳細介紹。本書的目的是展示如何將S-PLUS用作強大的圖形數據分析系統。讀者被認為具有基本的統計基礎知識，因此本書適用於潛在的S-PLUS用戶以及使用統計的學生和研究人員。全書強調呈現實際問題和真實數據集的完整分析。討論的許多方法都是關於線性、非線性和平滑回歸模型、基於樹的方法、多變量分析和模式識別、生存分析、時間序列和空間統計等主題的最新方法。在適當的情況下，使用了現代技術，如魯棒方法、非參數平滑和自助法。本書的第三版適用於S-PLUS 4.5、5.0、2000或更高版本的用戶，但也考慮了S-PLUS 3.3/4。與第二版相比，主要變化是對當前版本的S-PLUS進行了涵蓋。使用了新的示例和最新的計算密集方法對材料進行了廣泛重寫。關於S編程的配套卷將為那些使用S語言編寫軟件的人提供深入指南。作者撰寫了幾個增強S-PLUS的軟件庫，這些庫以及使用的所有數據集都可以在互聯網上以Windows和UNIX版本的形式獲得。有廣泛的在線補充資料，包括高級材料、用戶貢獻的擴展、進一步練習和S-PLUS的新功能。Venables博士現在是昆士蘭州CSRIO的統計學家，之前在阿德萊德大學統計學系工作多年。他在澳大利亞、歐洲和美國舉辦了許多關於S-PLUS的短期課程。Ripley教授擔任牛津大學應用統計學講座，並且是空間統計、模擬、模式識別和神經網絡等領域的另外四本書的作者。