Main description:
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 - 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
Review quote:
"... 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.
Table of contents:
Data Management. Descriptive Statistics. Probability. Quality and Control Charts. One and Two-Sample Inferential Procedures. Multiple-Sample Inferential Procedures. Simple and Multiple Regression and correlation. Subject Index.
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 - 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
Review quote:
"... 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.
Table of contents:
Data Management. Descriptive Statistics. Probability. Quality and Control Charts. One and Two-Sample Inferential Procedures. Multiple-Sample Inferential Procedures. Simple and Multiple Regression and correlation. Subject Index.