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4 Statistics Graphics Toolkit
References
The books listed below were used in preparing the Statistics Graphics Toolkit, so you
can be sure that their concepts and notations come close to matching those in this
Toolkit.
Statistics, by D. Freedman, R. Pisani, and R. Purvis. W. W. Norton, 1978. A slowpaced,
gentle introduction.
Beginning Statistics with Data Analysis, by F. Mosteller et al. Addison-Wesley,
1983. Clear introduction with interesting examples.
An Introduction to Mathematical Statistics and its Applications, by R. Larsen and
M. Marx. Prentice-Hall, 1986. Good textbook for college mathematics courses.
Mathematical Statistics with Applications, by W. Mendenhall et al. Duxbury
Press, 1986. Another good math textbook.
Understanding Robust and Exploratory Data Analysis, edited by D. Hoaglin, F.
Mosteller, and J. Tukey. Wiley 1983. Superb introduction to modern “robust”
statistics.
Exploring Data Tables, Trends, and Shapes, edited by D. Hoaglin, F. Mosteller,
and J. Tukey. Wiley 1985. Advanced topics in modern “robust” statistics.
Practical Statistics for the Physical Sciences, by L. Havilcek and R. Crain. American
Chemical Society, 1988. Introduction to statistics for scientific work.
Statistical Analysis for Business and Economics, by D. Harnett and J. Murphy.
Third edition, Addison-Wesley, 1985. A thorough textbook.
Basic Statistics, by T. Kurtz. Prentice-Hall, 1963. A clear introductory textbook to
mathematical statistics.
Applied Statistics: A Handbook of Techniques, by L. Sachs. Springer-Verlag, 1982.
A good, thorough collection of descriptions and techniques.
Nonparametric Statistical Methods, by M. Hollander and D. Wolfe. Wiley, 1973.
Methodical and relatively easy to read.
Nonparametric Statistical Inference, by J. Gibbons. McGraw-Hill, 1971. Fairly
thorough and rather advanced.
Classical and Modern Regression with Applications, by R. Myers. Duxbury Press,
1986. Fairly thorough book on linear and nonlinear regression. Quite readable.
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