Statistical Data Analysis Using SAS: Intermediate Statistical Methods (Springer Texts in Statistics)
暫譯: 使用SAS進行統計數據分析：中級統計方法（Springer統計系列）
Mervyn G. Marasinghe, Kenneth J. Koehler
- 出版商: Springer
- 出版日期: 2018-04-23
- 售價: $6,300
- 貴賓價: 9.5 折 $5,985
- 語言: 英文
- 頁數: 679
- 裝訂: Paperback
- ISBN: 3319692380
- ISBN-13: 9783319692388
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相關分類:
Data Science、機率統計學 Probability-and-statistics
海外代購書籍(需單獨結帳)
商品描述
The aim of this textbook (previously titled SAS for Data Analytics) is to teach the use of SAS for statistical analysis of data for advanced undergraduate and graduate students in statistics, data science, and disciplines involving analyzing data.
The book begins with an introduction beyond the basics of SAS, illustrated with non-trivial, real-world, worked examples. It proceeds to SAS programming and applications, SAS graphics, statistical analysis of regression models, analysis of variance models, analysis of variance with random and mixed effects models, and then takes the discussion beyond regression and analysis of variance to conclude.
Pedagogically, the authors introduce theory and methodological basis topic by topic, present a problem as an application, followed by a SAS analysis of the data provided and a discussion of results. The text focuses on applied statistical problems and methods. Key features include: end of chapter exercises, downloadable SAS code and data sets, and advanced material suitable for a second course in applied statistics with every method explained using SAS analysis to illustrate a real-world problem.
New to this edition:
• Covers SAS v9.2 and incorporates new commands
• Uses SAS ODS (output delivery system) for reproduction of tables and graphics output
• Presents new commands needed to produce ODS output
• All chapters rewritten for clarity
• New and updated examples throughout
• All SAS outputs are new and updated, including graphics
• More exercises and problems
• Completely new chapter on analysis of nonlinear and generalized linear models
• Completely new appendix
Mervyn G. Marasinghe, PhD, is Associate Professor Emeritus of Statistics at Iowa State University, where he has taught courses in statistical methods and statistical computing.
Kenneth J. Koehler, PhD, is University Professor of Statistics at Iowa State University, where he teaches courses in statistical methodology at both graduate and undergraduate levels and primarily uses SAS to supplement his teaching.
The book begins with an introduction beyond the basics of SAS, illustrated with non-trivial, real-world, worked examples. It proceeds to SAS programming and applications, SAS graphics, statistical analysis of regression models, analysis of variance models, analysis of variance with random and mixed effects models, and then takes the discussion beyond regression and analysis of variance to conclude.
Pedagogically, the authors introduce theory and methodological basis topic by topic, present a problem as an application, followed by a SAS analysis of the data provided and a discussion of results. The text focuses on applied statistical problems and methods. Key features include: end of chapter exercises, downloadable SAS code and data sets, and advanced material suitable for a second course in applied statistics with every method explained using SAS analysis to illustrate a real-world problem.
New to this edition:
• Covers SAS v9.2 and incorporates new commands
• Uses SAS ODS (output delivery system) for reproduction of tables and graphics output
• Presents new commands needed to produce ODS output
• All chapters rewritten for clarity
• New and updated examples throughout
• All SAS outputs are new and updated, including graphics
• More exercises and problems
• Completely new chapter on analysis of nonlinear and generalized linear models
• Completely new appendix
Mervyn G. Marasinghe, PhD, is Associate Professor Emeritus of Statistics at Iowa State University, where he has taught courses in statistical methods and statistical computing.
Kenneth J. Koehler, PhD, is University Professor of Statistics at Iowa State University, where he teaches courses in statistical methodology at both graduate and undergraduate levels and primarily uses SAS to supplement his teaching.
商品描述(中文翻譯)
這本教科書（之前的標題為《SAS for Data Analytics》）的目的是教導高年級本科生和研究生如何使用SAS進行數據的統計分析，特別是統計學、數據科學及涉及數據分析的學科。
本書從SAS的基本概念開始介紹，並以非平凡的真實案例進行說明。接著進入SAS編程與應用、SAS圖形、回歸模型的統計分析、變異數分析模型、隨機和混合效應模型的變異數分析，最後將討論擴展到回歸和變異數分析之外進行總結。
在教學上，作者逐個主題介紹理論和方法論基礎，提出一個問題作為應用，隨後進行提供數據的SAS分析及結果討論。文本重點在於應用統計問題和方法。主要特點包括：每章結尾的練習題、可下載的SAS代碼和數據集，以及適合第二門應用統計課程的進階材料，每種方法都使用SAS分析來說明一個真實世界的問題。
本版新增內容：
• 涵蓋SAS v9.2並整合新命令
• 使用SAS ODS（輸出交付系統）來重現表格和圖形輸出
• 提供生成ODS輸出的新命令
• 所有章節重新編寫以提高清晰度
• 全書新增和更新的範例
• 所有SAS輸出均為新版本和更新，包括圖形
• 更多練習和問題
• 完全新的一章關於非線性和廣義線性模型的分析
• 完全新的附錄
**Mervyn G. Marasinghe, PhD**，是愛荷華州立大學的統計學名譽副教授，曾教授統計方法和統計計算的課程。
**Kenneth J. Koehler, PhD**，是愛荷華州立大學的統計學大學教授，教授研究生和本科生的統計方法課程，並主要使用SAS來輔助教學。
