The stated purpose of this volume is to provide a concise and quick reference to the various statistical terms that are used in the scientific literature. It is intended for use by both researchers and students in many academic disciplines. With the present volume, the author has achieved this aim admirably. Indeed, the breadth of topics covered in this book should, together with its inclusive nature, make it a valuable addition to the library of anyone who critically reads the scientific literature. Research reports from different laboratories or from different scientific disciplines often include different statistical methods, and it is a common experience for readers to come across statistical tests or terms with which they are unfamiliar. This book provides a useful and quick reference to the different statistical methods in widespread use.
The book is arranged alphabetically and lists heading entries for over 3000 of the statistical terms and tests that are used in the scientific literature. It is extremely easy to use and, importantly, is very well cross-referenced. Thus, when more than one term for the same concept or test is in common (or even not so common) use, the definition can be easily located even if the reader is only aware of one of them. The definition of each term gives a concise and simple statement of what is meant by the term or of the purpose of the test. This concise statement is typically followed by a more mathematical description of the term or test as well as a reference to a more thorough treatment of the subject or concept elsewhere. Throughout the book, illustrations are provided, with good effect, to facilitate understanding of selected concepts. As a result, this work should be useful for readers with a wide range of mathematical abilities and interests.
In summary, this book is an easy-to-read, easy-to-use reference to most of the statistical material that students and scientists are likely to encounter during their reading of the scientific literature. It will be useful to readers with a wide range of mathematical and statistical expertise and will be a welcome addition to any library.