<p> </p><p>附件是JMP Start Statistics-A Guide to Statistics and Data Analysis Using JMP, 4th Edition的RAR压缩文件，由SAS公司2007年出版，629页，原价59.95美金，权威的JMP指导参考书。</p><p>书的介绍如下：<br/>JMP is statistical discovery software. JMP helps you explore data, fit models, discover patterns, and discover points that don’t fit patterns. This book is a guide to statistics using JMP.</p><p>The emphasis of JMP as statistical discovery software is to interactively work with data and graphics in a progressive structure to make discoveries.<br/>&gt;&nbsp;With graphics, you are more likely to make discoveries. You are also more likely to understand the results.<br/>&gt;&nbsp;With interactivity, you are encouraged to dig deeper and try out more things that might improve your chances of discovering something important. With interactivity, one analysis leads to a refinement, and one discovery leads to another discovery.<br/>&gt;&nbsp;With a progressive structure, you build a context that maintains a live analysis. You don’t have to redo analyses and plots to make changes in them, so details come to attention at the right time.</p><p>Software’s job is to create a virtual workplace. The software has facilities and platforms where the tools are located and the work is performed. JMP provides the workplace that we think is best for the job of analyzing data. With the right software workplace, researchers embrace computers and statistics, rather than avoid them.</p><p>JMP aims to present a graph with every statistic. You should always see the analysis in both ways, with statistical text and graphics, without having to ask for it. The text and graphs stay together.</p><p>JMP is controlled largely through point-and-click mouse manipulation. If you hover the mouse over a point, JMP identifies it. If you click on a point in a plot, JMP highlights the point in the plot, and highlights the point in the data table. In fact, JMP highlights the point everywhere it is represented.</p><p>JMP has a progressive organization. You begin with a simple report (sometimes called a report surface or simply surface) at the top, and as you analyze, more and more depth is revealed. The analysis is alive, and as you dig deeper into the data, more and more options are offered according to the context of the analysis.</p><p>In JMP, completeness is not measured by the “feature count,” but by the range of possible applications, and the orthogonality of the tools. In JMP, you get a feeling of being in more control despite less awareness of the control surface. You also get a feeling that statistics is an orderly discipline that makes sense, rather than an unorganized collection of methods.</p><p>A statistical software package is often the point of entry into the practice of statistics. JMP strives to offer fulfillment rather than frustration, empowerment rather than intimidation.</p><p>If you give someone a large truck, they will find someone to drive it for them. But if you give them a sports car, they will learn to drive it themselves. Believe that statistics can be interesting and reachable so that people will want to drive that vehicle.</p><p>Many changes have been made since the third edition of JMP Start Statistics. Based on comments and suggestions by teachers, students, and other users, we have expanded and enhanced the book, hopefully to make it more informative and useful.</p><p>JMP Start Statistics has been updated and revised to feature JMP 7. Major enhancements have been made to the product, including new platforms for design (Split Plots, Computer Designs), analysis (Generalized Linear Models, Time Series, Gaussian Processes), and graphics (Tree Maps, Bubble Plots) as well as more report options (such as the Tabulate platform, Data Filter, Phase and T2 control charts) unavailable in previous versions. The chapter on Design of Experiments (DOE) has been completely rewritten to reflect the popularity and utility of optimal designs. In addition, JMP has a new interface to SAS that makes using the products together much easier.</p><p>JMP 7 also focuses on enhancing the user experience with the product. Tutorials, Did you know tips, and an extensive use of tool tips on menus and reports make using JMP easier than ever.</p><p>Building on the comments from teachers on the third edition, chapters have been rearranged to streamline their pedagogy, and new sections and chapters have been added where needed.</p><p>Software Manual and Statistics Text<br/>This book is a mix of software manual and statistics text. It is designed to be a complete and orderly introduction to analyzing data. It is a teaching text, but is especially useful when used in conjunction with a standard statistical textbook.</p><p>Not Just the Basics<br/>A few of the techniques in this book are not found in most introductory statistics courses, but are accessible in basic form using JMP. These techniques include logistic regression, correspondence analysis, principal components with biplots, leverage plots, and density estimation. All these techniques are used in the service of understanding other, more basic methods. Where appropriate, supplemental material is labeled as “Special Topics” so that it is recognized as optional material that is not on the main track.</p><p>JMP also includes several advanced methods not covered in this book, such as nonlinear regression, multivariate analysis of variance, and some advanced design of experiments capabilities. If you are planning to use these features extensively, it is recommended that you refer to the help system or the documentation for the professional version of JMP (included on the JMP CD or at <a href="http://www.jmp.com">http://www.jmp.com</a>).</p><p>Examples Both Real and Simulated<br/>Most examples are real-world applications. A few simulations are included too, so that the difference between a true value and its estimate can be discussed, along with the variability in the estimates. Some examples are unusual, calculated to surprise you in the service of emphasizing an important concept. The data for the examples are installed with JMP, with step-by-step instructions in the text. The same data are also available on the internet at <a href="http://www.jmp.com">www.jmp.com</a>. JMP can also import data from files distributed with other textbooks. See Chapter 3, "Data Tables, Reports, and Scripts" for details on importing various kinds of data.</p>