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This path-breaking book presents a unified approach for doing
mathematical statistics with Mathematica. The included mathStatica
software builds upon Mathmatica's symbolic engine to create a
sophisticated toolset specially designed for doing mathematical
statistics. With mathStatica, students can easily solve difficult
statistical problems, while the professional statistician will be able
to tackle tricky multivariate distributions, generating functions,
inversion theorems, symbolic ML estimation, unbiased estimation, etc.
The mathStatica software is wonderfully easy to use, and yet so
powerful that it can find corrections to mainstream reference texts
and solve new problems in seconds. This book is the ideal companion
for researchers and students in statistics, econometrics, engineering,
physics, psychometrics, economics, finance, biometrics, and the social
sciences, across both the pure and applied domains.
The book contains two cross-platform CDs, which run on Windows, Mac,
Linux, and most flavours of UNIX:
CD 1-mathStatica CD-ROM containing:
* mathStatica: The Application Pack for mathematical statistics
* live interactive book that is identical to the printed text.
* hundreds of live examples, animations and illustrations
* custom Mathematica palettes
CD2-Mathematica v4 (trial CD): for readers who are new to
Mathematica.
mathStatica replaces dozens of reference works, extending analysis to
problems of arbitrary high order. Features include:
* a complete suite of functions for manipulating probability density
Produkteigenschaften
- Artikelnummer: 9780387952345
- Medium: Buch
- ISBN: 978-0-387-95234-5
- Verlag: Springer
- Erscheinungstermin: 01.04.2002
- Sprache(n): Englisch
- Auflage: Erscheinungsjahr 2002
- Serie: Springer Texts in Statistics
- Produktform: Medienkombination
- Seiten: 481
- Ausgabetyp: Kein, Unbekannt
Themen
- Mathematik | Informatik
- EDV | Informatik
- Angewandte Informatik
- Computeranwendungen in Wissenschaft & Technologie
- Mathematik | Informatik
- EDV | Informatik
- Angewandte Informatik
- Computeranwendungen in Wissenschaft & Technologie
- Interdisziplinäres
- Wissenschaften
- Wissenschaften: Forschung und Information
- Datenanalyse, Datenverarbeitung