Written for the professional statistician or graduate statistics student, the primary objective of this book is to describe a system, based on the LISP language, for statistical computing and dynamic graphics to show how it can be used as an effective platform for a wide range of statistical computing tasks ranging from basic calculations to customizing dynamic graphs. In addition, it introduces object-oriented programming and graphics programming in a statistical context. The discussion of these ideas is based on the Lisp-Stat system; readers with access to such a system can reproduce the examples presented and use them as a basis for further experimentation and study.
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Written for the professional statistician or graduate statistics student, the primary objective of this book is to describe a system, based on the LISP language, for statistical computing and dynamic graphics to show how it can be used as an effective platform for a wide range of statistical computing tasks ranging from basic calculations to customizing dynamic graphs. In addition, it introduces object-oriented programming and graphics programming in a statistical context. The discussion of these ideas is based on the Lisp-Stat system; readers with access to such a system can reproduce the examples presented and use them as a basis for further experimentation and study.
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2 of 2 people found the following review helpful:
3.0 out of 5 stars
The definitive reference on xlisp-stat,
By Chris Ege (cege@transom.com) (Ann Arbor, Michigan) - See all my reviews
This review is from: LISP-STAT: An Object-Oriented Environment for Statistical Computing and Dynamic Graphics (Wiley Series in Probability and Statistics) (Hardcover)
Lisp Stat is the definitive reference on Tierney's xlisp-stat. It is certainly not to be used as a complete lisp reference or tutorial for xlisp-stat programming, it provides a reference of the functions that Tierney has put on top of lisp for xlisp-stat programming and provides enough rudimentary lisp examples and parameters to allow simple programming. It is perhaps more than adequate for those seeking to add basic features to an existing program through an xlisp-stat application programming interface or statisticians seeking to exploit the language's powerful matrix manipulation abilities.
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