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Mathematica's diverse capabilities make it particularly well suited to perform the many calculations encountered in statistics. This book introduces Mathematica for various types of statistical computations. It covers a broad range of topics, and should appeal to both students and professional statisticians.
Key Features
* Comprehensive: Covers the use of Mathematica for applications ranging from descriptive statistics, through multiple regression and nonparametric methods; uses virtually all of Mathematica's built-in statistical commands, as well as those contained in various Mathematica packages; Additionally, the authors have written numerous procedures to extend Mathematica's capabilities, which are also included on the CD-ROM
* Easy to read: Uses "by example" approach authors have used in several other books about Mathematica: works for beginners and experts alike
* Applied: Examples from diverse disciplines, including biostatistics, business, statistics, econometrics, engineering, and psychology
* Up-to-date: Compatible with Mathematica Version 3
* Includes CD-ROM: with all Mathematica inputs from text and also numerous procedures to extend Mathematica's built-in, statistical capabilities
- Sales Rank: #3135546 in Books
- Published on: 1998-11-03
- Original language: English
- Number of items: 1
- Dimensions: 1.20" h x 7.39" w x 9.20" l, 2.43 pounds
- Binding: Hardcover
- 632 pages
Review
"... for users of Mathematica who may need to do some statistics and would rather use Mathematica than a more specialized statsistics package. ... this text is an illustrative manual that describes several supplemental packages of statistical functions that implement the traditional methods of data analysis that would be covered in a one- or two-semester undergraduate course."
--THE AMERICAN STATISTICIAN, May 2000
"....Mathematica . . .is a detailed, versatile system for performing mathematical operations on the computer. . . . Highly recommended for undergraduate through professionals."
--D. J. Gougeon, University of Scranton, CHOICE, October, 1999.
From the Back Cover
Statistics with Mathematica is an ideal reference for all Mathematica users performing statistical analyses. The topics covered correspond to those in a typical, two-semester introduction to statistics, with an emphasis on applications to various fields. All examples presented are compatible with Version 3 of Mathematica and all inputs are included on the enclosed CD-ROM.
Comprehensive: Covers use of Mathematica for applications ranging from descriptive statistics, through multiple regression and nonparametric methods; uses virtually all of Mathematica's built-in statistical commands, as well as those contained in various Mathematica packages. Additionally, the authors have written numerous procedures to extend Mathematica's capabilities, which are also included on the CD-ROM.
Easy to read: Uses "by example" approach authors have used in several other books about Mathematica; works for beginners and experts alike.
Applied: Examples from diverse disciplines, including biostatistics, business statistics, econometrics, engineering, and psychology.
Includes CD-ROM: with all Mathematica inputs from text and also numerous procedures to extend Mathematica's built-in statistical capabilities.
About the Author
Martha L. Abell and James P. Braselton are graduates of the Georgia Institute of Technology and the Ohio State University, respectively, and teach at Georgia Southern University, Statesboro where they have extensive experience in Mathematica-assisted instruction at both the undergraduate and graduate levels. In addition, they have given numerous presentations on Mathematica, throughout the United States and abroad. Other books by the authors include Differential Equations with Mathematica, Second Edition and Statistics with Mathematica. Martha became Dean of the College of Science and Mathematics at Georgia Southern University in 2014.
Martha L. Abell and James P. Braselton are graduates of the Georgia Institute of Technology and the Ohio State University, respectively, and teach at Georgia Southern University, Statesboro. Martha recently received Georgia Southern's award for 'excellence in research and/or creative scholarly activity.' Both authors have extensive experience with using Mathematica as well as Mathematica-assisted instruction at both the undergraduate and graduate levels. In addition, they have given numerous presentations on Mathematica, throughout the United States and abroad. Other books by the authors include Differential Equations with Mathematica, Second Edition and Statistics with Mathematica. Martha Abell became Dean of the College of Science and Mathematics at Georgia Southern University, Statesboro, Georgia, in 2014.
Most helpful customer reviews
29 of 30 people found the following review helpful.
Statistics with Mathematica
By Robert E. Welcyng
Statistics with Mathematica (which I'll refer to as "SwM") is a book for someone who knows something about Mathematica and something about statistics--the more known, the better. SwM is neither a comprehensive tutorial on Mathematica nor on statistics. Rather, SwM illustrates by example how to perform statistical operations and produce graphs using Mathematica. SwM is both a tutorial and a reference book. SwM was written for Version 3 (or later) of Mathematica, although one can purportedly squeak by with Version 2.2.
A word of advice: Before you buy this book, decide whether you have some compelling reason to perform statistical analyses and make graphs using Mathematica, as opposed to, say, Excel.
I found the large number of typos, oversights, and the poor integration of the accompanying CD quite annoying. To the reader familiar with Mathematica, many of the typos are glaring and easy to correct. Other typos, such as incorrect page numbers listed in the index, are more problematic.
Knowledge of Mathematica will also see you through most of the oversights. For example, if you already understand why you must first load a Mathematica Standard Add-on Package before attempting to use one of its functions, you will not need such a reminder in SwM. A reminder is given, but many pages too late.
SwM's preface promises that all Mathematica input is included on the accompanying CD. That is simply not so--some files referred to in the text are not on the CD. However, if you don't mind typing a few missing files, you can make them yourself. The CD, oddly titled "UNTITLED_CD", contains two folders and a total of 60 files. Most files are cryptically named and are not referenced in the text nor vice versa. That's where the fun begins. The SwM text will refer you to an author-defined procedure, tell you to locate it on the CD, but fail to mention the name of the requisite CD file.
A redeeming feature of SwM is the collection of ready-to-use author-defined procedures available to the reader. Some are simple and obvious, while others, such the "Box and Whisker" plotters, would require some effort to write from scratch. The authors' procedures help both by extending the use of Mathematica's add-ons and by illustrating how one might write or modify such procedures.
SwM includes a chapter on data manipulation that illustrates how to transfer data from a text file to Mathematica list variables where the data can be worked upon. SwM, however, does not address how to transfer data from Excel or other commonly used data base applications.
SwM covers a wide gamut of statistical tools including descriptive statistics, univariate and multivariate methods, data smoothing and time series, probability and probability distributions, simulation, inferential procedures, analysis of variance, and regression and correlation, as well as the graphic representation of data and its attributes.
As far as I know, SwM is the only book of its kind that is devoted to statistical analysis via Mathematica. While sloppy editing does leave SwM frustrating to use, the reader could reorganize and index the CD's Notebook files and eventually find SwM to be a favorite reference.
13 of 14 people found the following review helpful.
Be forewarned
By jsm
This book is slightly useful for people who know a little about Mathematica and more about statistics. The book is moderately useful in gaining some idea about how to go about doing statistics with Mathematica.
However, I hope that the editors involved with the publication of this text from Academic Press have all gone back to work at something that does not require eyesight and an ability to read simple words. Others have mentioned the ubiquitous errors. I have never encountered a published final text that is more rife with errors. I've used Mathematica to actually calculate the number of errors in the text (couldn't do it in my head), and the answer is 1.34252x10^14. There are few pages that do not contain at least one error, some, numerous. For example, on page 83 the output of has 6.43041
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