A Dictionary of Statistics

by Graham J.G. Upton, Ian Cook

The most up-to-date dictionary of its kind, this authoritative reference tool covers a broad range of statistical terms in a clear and jargon-free style. Written by authorities in the field, this dictionary will provide concise definitions of all the terms likely to be encountered by students
of statistics, and anyone who comes into contact with statistical terms will find this dictionary an indispensable source of reference. The entries are also generously illustrated with useful figures and diagrams. Appendices feature a historical calendar of important statistical events, and tables
of statistical and mathematical notation.

Genres: Reference, Dictionaries

428 pages, Paperback

First published November 28, 2002

About the author

Graham J.G. Upton is a former professor at the University of Essex, Department of Mathematical Sciences.

Reviews

[A Mig · Rating 3 out of 5]

A dry read but what else to expect with a dictionary of statistics - It does the job well. The inclusion of the short biography of important statisticians was a nice touch.

[James Hunt · Rating 1 out of 5]

Oh dear. I had high expectations of this book, but they were immediately shattered. Looking up the definition of standard deviation I find the definition,

The square root of the *variance.

Hmm.. I was expecting a little more than that. But ok, let's check the definition of variance:

It is the square of the *standard deviation.

This is simply not helpful and not what one expects from an Oxford University Press publication. And bear in mind, this fundamental error (which frankly should have been caught in the early editing phase) persists in the third edition!

[Hoang Cuong · Rating 5 out of 5]

While it could be a pretty dry book for starters/newcomers in Statistics (after all, no one wants to read from the beginning to the end of a dictionary), it's really convenient to search, understand statistical concepts with clear examples and definition. Highly recommended for people with intermediate/advanced skills in Statistics.

Note: another recommended book with this dictionary is The Art of Statistics: How to Learn from Data from David Spiegelhalter.

[James Piper]

For the serious stats folks.

[Bhavani Shankar · Rating 5 out of 5]

Life saviour of data analysts.