An Engineer's Guide to Books on Statistics and Data Analysis

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Abstract
“Can you suggest a book that will give me a better understanding of statistics and data analysis?” This request is made frequently by engineers and scientists. The appropriate response depends on the questioner's mathematical maturity and previous exposure to statistics, the application area(s) of interest, and the depth of discussion desired. This guide provides an annotated bibliography, grouped into the following subject areas: general introductory books (very elementary, elementary, etc.), mathematical statistics, sixteen specific application areas (error analysis, experimental design, multivariate analysis, etc.), five special methods, and statistical tables. Each subject area is reviewed briefly and a number of books are described. The descriptions are frequently based on quotations from the books and generally indicate the material covered and the assumed background of the reader.

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