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LISP-STAT. An object-oriented environment for statistical computing and dynamic graphics. (English) Zbl 0747.62007

Wiley Series in Probability and Mathematical Statistics, Applied Probability and Statistics Section. New York etc.: John Wiley & Sons. xiii, 397 p. (1990).
This book describes the statistical environment Lisp-Stat based on the Lisp language. It includes support for vectorized arithmetic operations, a comprehensive set of basic statistical operations, an object-oriented programming system, and support for dynamic graphics. The primary objective of this book is to introduce the Lisp-Stat system and to show how it can be used as an effective platform for a large number of statistical computing tasks. A further objective is to introduce object- oriented programming and graphics programming in a statistical context. Using the Lisp-Stat for computations, this book covers computations ranging from summary statistics through fitting linear and nonlinear regression models to general maximum likelihood estimation and approximate Bayesian methods. Standard graphics include scatter plots, rotatable plots, and scatter-plot matrices.
The statistical background assumed is a solid undergraduate knowledge in statistical theory and methods. No prior knowledge of Lisp is assumed, but some experience with a programming language like FORTRAN or \(C\) would be helpful. This book is intended for statisticians, research workers, and students as an ideal reference for guidence on standard Lisp-Stat techniques. It can be also used as a supplement to several courses on statistical computing and computational statistics.
Chapter heading: (1) Introduction; (2) A Lisp-Stat tutorial; (3) Programming in Lisp; (4) Additional Lisp features; (5) Statistical functions; (6) Object-oriented programming; (7) Windows, menus, and dialogs; (8) Graphics windows; (9) Statistical graphics windows; (10) Some dynamic graphics examples.

MSC:

62-04 Software, source code, etc. for problems pertaining to statistics
62-02 Research exposition (monographs, survey articles) pertaining to statistics
62-07 Data analysis (statistics) (MSC2010)
62A09 Graphical methods in statistics
65C99 Probabilistic methods, stochastic differential equations
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