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Encyclopedia of Statistical Sciences

Copyright © 2010 by John Wiley & Sons, Inc. All rights reserved.
Last updated: 10 Dec 2009

Welcome to the online home of the Encyclopedia of Statistical Sciences , the most indispensable reference for statistical content. Regularly updated with new articles and revisions to previously published articles, the Encyclopedia of Statistical Sciences includes the full text of the second print edition, the entire original edition, plus supplements and updates all rolled into one fully searchable site.

New methodologies, written by the world’s leaders in statistics, are introduced in an easy-to-read format, accessible by a powerful search engine. Extensions of existing articles have also been incorporated in an effort to showcase the fluidity of the field. Thorough cross-referencing facilitate quick access to specific information and provide an indispensable platform for further study and research.

Key Features

  • Includes the full text of the first and second print editions, plus the supplemental volumes
  • Thorough cross-referencing and up-to-date bibliographies facilitate quick access to specific information and provide an indispensable platform for further study and research.
  • A powerful search engine provides easy searchability of the full text, tables and figures.
  • More than 3000 combined authorships, spanning five continents, in over 30 countries.
  • Over 10% of the contents are updated annually, with revisions and new articles added quarterly
  • The series is viewed as the cutting-edge reference of choice for those working in statistics, probability theory, biostatistics, quality control, and economics with emphasis in applications of statistical methods in sociology, engineering, computer science, biomedicine, psychology, survey methodology, and a host of other client disciplines.

Praise for the Encyclopedia of Statistical Sciences :

“...a superb reference guide for those working in the area of quality control, economics, probability, and statistics as well as those applying statistical methods in almost any discipline.... Highly recommended for upper-division undergraduates through professionals.”
-Choice

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