Appendix B
Bibliography
Introductory Works and Graphical Methods
Chambers, J., Cleveland, W., Kleiner, B., and P. Tukey (1983), Graphical Methods for Data Analysis, Wadsworth & Brooks/Cole, Pacific Grove, CA. A very well-written presentation of graphical methods in statistics.
Freedman, D., Pisani, R., Purves R., and A. Adbikari (2007), Statistics, 4th ed., Norton, New York. An excellent introduction to statistical thinking, requiring minimal mathematical background.
Hoaglin, D., Mosteller, F., and J. Tukey (1983), Understanding Robust and Exploratory Data Analysis, John Wiley & Sons, New York. Good discussion and illustration of techniques such as stem-and-leaf displays and box plots.
Tanur, J., et al. (eds.) (1989), Statistics: A Guide to the Unknown, 3rd edition, Wadsworth & Brooks/Cole, Pacific Grove, CA. Contains a collection of short nonmathematical articles describing different applications of statistics.
Tukey, J. (1977), Exploratory Data Analysis, Addison-Wesley, Reading, MA. Introduces many new descriptive and analytical methods. Not extremely easy to read.
Probability
Hoel, P. G., Port, S. C., and C. J. Stone (1971), Introduction to Probability Theory, Houghton Mifflin, Boston. A well-written and comprehensive treatment of probability theory and the standard discrete and continuous distributions.
Olkin, I., Derman, C., and L. Gleser (1994), Probability Models and Applications, 2nd ed., Macmillan, New York. A comprehensive treatment of probability at a higher mathematical ...
Get Applied Statistics and Probability for Engineers, 6th Edition now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.