Strata Chart to Zyskind-Martin Models Cumulative Index, Vols. 1-9, Volume 9, Encyclopedia of Statistical Sciences - Hardcover

 
9780471854746: Strata Chart to Zyskind-Martin Models Cumulative Index, Vols. 1-9, Volume 9, Encyclopedia of Statistical Sciences

Synopsis

"This encyclopedia is 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 The Encyclopedia of Statistical Science has long been regarded as the premiere source of statistical knowledge. Now all 13 volumes, including supplements and updates, are available for a single set price.

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From the Publisher

Brings together, in a ready-access encyclopedic format, theories, methods, applications, and historical background in the statistical sciences. More than 4,000 entries by leading statisticians, mathematicians, educators, and major figures in the development of statistics cover all principle subfields including probability theory, statistical distribution theory, computational methods, sampling survey methods, decision theory, sequential analysis, and multivariable analysis. Fully indexed. 'Masterpiece is the best possible description...its potential for simplifying and clarifying statistical communication enriches us all.'--Roger H. Moore, Bureau of the Census, in Journal of the American Statistical Association.

Review

"EoSS represents the contributions from the finest in the field...greatly valued and appreciated by anyone who has opened a volume of the first edition..." (Journal of the American Statistical Association, September 2007)

"It is a valuable addition for undergraduate and science libraries." (American Reference Books Annual, March 2007)

"...a well-prepared and needed replacement for the first edition of a standard work...most major academic libraries should purchase it..." (CHOICE, July 2006)

"Institutions with strong statistical science programs should consider adding this resource to their collections." (Library Journal, July 2006)

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