Frank I.E., Todeschini R. The Data Analysis Handbook

Amsterdam: Elsevier, 1994. — 365 p. — ISBN: 0-444-816593.Organizing knowledge is another way to contribute to its development. The value of such an attempt is in its capability for training, education and providing deepening insights. Separating the organization from the production of knowledge is arbitrary. Both are essential to the advancement of a field.
How many times have you looked for a short and accurate description of an unknown or vaguely familiar term encountered in a paper, book, lecture or discussion? How often have you tried to figure out whether two different terminologies in fact refer to the same method, or whether they are related to different techniques? How can you get a comprehensive, yet concise introduction to a topic in data analysis? It is our hope that this book will be helpful in these as well as in many other contexts.
This handbook can be used in several ways at different levels. It can serve as a quick reference guide to a rapidly growing field where even an expert might encounter new concepts or methods. It can be a handy companion to text books for undergraduate or graduate students and researchers who are involved in statistical data analysis. It provides a brief and highly organized introduction to many of the most useful techniques.
This handbook is written in a dictionary format; it contains almost 1700 entries in alphabetical order. However, unlike an ordinary dictionary, in which each entry is a separate, self contained unit, rarely connected to others by cross-reference, this book is highly structured. Our goal is to give not only definitions and short descriptions of technical terms, but also to describe the similarities, differences, and hierarchies that exist among them through extensive cross-referencing.