From the Back Cover:
Statistics with Maple is a practical guide for all Maple users who need to produce numerical summaries, create graphical displays, or perform statistical analyses. The book and the associated software are unique in their focus on using Maple for statistical work.
Comprehensive: Covers use of Maple for applications ranging from numerical and graphical descriptive statistics through probability distributions, confidence intervals, tests of significance, multiple regression, and nonparametric methods; discusses virtually all of Maple's statistical capability. ADDITIONALLY, the authors have
written over 150 procedures to extend Maple's capability, which are included on the enclosed CD-ROM.
Easy to Read: Uses "by example" approach authors have used in several other books. Works for beginners and experts alike.
Applied: Examples are from diverse disciplines, including biostatistics, business statistics, econometrics, engineering, and psychology.
"Professionals who have a particular reason for using Maple to do statistical analyses should find the book very useful, and will find the level and style of writing both inviting and efficient in terms of getting right to the point and explaining it clearly and completely."
-Dennis M. DeTurck, University of Pennsylvania|Statistics with Maple is a practical guide for all Maple users who need to produce numerical summaries, create graphical displays, or perform statistical analyses. The book and the associated software are unique in their focus on using Maple for statistical work.
Comprehensive: Covers use of Maple for applications ranging from numerical and graphical descriptive statistics through probability distributions, confidence intervals, tests of significance, multiple regression, and nonparametric methods; discusses virtually all of Maple's statistical capability. ADDITIONALLY, the authors have
written over 150 procedures to extend Maple's capability, which are included on the enclosed CD-ROM.
Easy to Read: Uses "by example" approach authors have used in several other books. Works for beginners and experts alike.
Applied: Examples are from diverse disciplines, including biostatistics, business statistics, econometrics, engineering, and psychology.
"Professionals who have a particular reason for using Maple to do statistical analyses should find the book very useful, and will find the level and style of writing both inviting and efficient in terms of getting right to the point and explaining it clearly and completely."
-Dennis M. DeTurck, University of Pennsylvania
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.
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