Statistics with Mathematica

Statistics with Mathematica

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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 qby exampleq 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 capabilitiesThe presence of outliers in an otherwise appropriate regression is such a situation, because this can be due to a departure from normality characterized by aquot;heavy tails. ... not additive, and it cannot be transformed into a form which can be fit using linear regression. For example, many problems in biology, 528 Chapter I I Regression and Correlation Normality Multicolinearity 11.7 Nonlinear Regression.


Title:Statistics with Mathematica
Author: Martha L. Abell, James P. Braselton, John Arthur Rafter
Publisher:Academic Press - 1999
ISBN-13:

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