The Basic Practice of Statistics
The Basic Practice of Statistics
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DOI：
10.1198/tech.2001.s639
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发表时间：
2001-08
期刊：
影响因子：
2.5
通讯作者：
David S. Moore
中科院分区：
文献类型：
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作者：
David S. Moore
这本书是摩尔和麦凯布（1999）的小兄弟，据齐格尔（2001）报道，摩尔和麦凯布（1999）最近出了第三版。以前，本书的第一版（1E）由Moore（1996）为Technometrics进行了评论。它在审稿人的摘要中得到了坚定的认可：“我相信所有入门的学生都会从这种介绍方式中受益，它最大限度地减少了概率和统计数学的分心，强调探索性数据分析，抽样和实验设计概念，并鼓励通过使用统计推断来发展洞察力和理解”（第404页）。这篇评论用同样有力的句子描述了这本书的内容。正如引文所示，这本书是经典的统计学，呈现得尽可能温和。作者因这种方法而广为人知。摩尔和麦凯布（1999）给出了更大剂量的相同类型的东西。这本书的目的是适合在两年制大学使用，所以这个版本的这种方法是非常基础的。书中的计算处于“双变量统计计算器”、Excel和Minitab的水平。使用“经典方法”，它所涉及的统计计算肯定比我所介绍的要少。作为第二版（2E），与第一版相比没有太多变化。一些概率论的材料从关于概率和抽样分布的章节中分离出来，放到关于概率论的下一章中，并标记为可选的。同意这个决定并不难。在书的末尾附加了一个关于非参数统计的新章节。2E还附带了一个精美的CD-ROM，其中包括示例百科全书、数据集、测试、更新的Web链接以及书中没有的一些附加文本部分。这本书已重新编排成四色版式。它现在包括新的章节介绍和章节总结部分。
This book is the little brother to Moore and McCabe (1999), which recently had its third edition, as reported by Ziegel (2001). Previously the rst edition (1E) of the book was reviewed for Technometrics by Moore (1996). It received a solid endorsement in the reviewer’s summary: “ I believe that all introductory students would bene t from this style of presentation, which minimizes the distraction of the mathematics of probability and statistics, emphasizing exploratory data analysis, sampling, and experimental design concepts, and encouraging the development of insight and understanding afforded by the use of statistical inference” (p. 404). The review described the content of the book in equally imposing sentences. As the quote indicates, this book is classical statistics presented as gently as possible. The author is widely renowned for this approach. Moore and McCabe (1999) gave an even bigger dose of the same type of stuff. The book is intended to be suitable for use in two-year colleges, so this version of this approach is very basic. Computing within the book is at the level of the “two-variable statistics calculator,” Excel, and Minitab. Using the “classical approach,” it certainly involves less statistical computing than I would present. As a second edition (2E), there are not many changes from the rst edition. Some probability material was separated from the chapter on probability and sampling distributions, made into a following chapter on probability theory, and labeled as optional. It is not hard to agree with that decision. There is a new chapter on nonparametric statistics tacked on at the end of the book. There also is a nice shiny CD-ROM packaged with the 2E that includes an encyclopedia of examples, datasets, quizzes, a Web link for updates, and some additional text sections that are not in the book. The book has been reformatted in a four-color layout. It now includes new chapter introductions and adds chapter summary sections.