Abstract
<p> <em> Mathematica's </em> diverse capabilities make it particularly well suited to perform the many calculations encountered in statistics. This book introduces <em> Mathematica </em> for various types of statistical computations. It covers a broad range of topics, and should appeal to both students and professional statisticians. <ul> <li> 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 </li> <li> Easy to read: Uses "by example" approach authors have used in several other books about Mathematica: works for beginners and experts alike </li> <li> Applied: Examples from diverse disciplines, including biostatistics, business, statistics, econometrics, engineering, and psychology </li> </ul></p>
| Original language | American English |
|---|---|
| State | Published - Jan 1 1999 |
Disciplines
- Mathematics
Keywords
- Statistics
- Mathematica
Fingerprint
Dive into the research topics of 'Statistics with Mathematica'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver