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Encyclopedia of Statistical Sciences / Edition 1

Encyclopedia of Statistical Sciences / Edition 1

by Samuel Kotz, David L. Banks


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Encyclopedia of Statistical Sciences / Edition 1

Keeping pace with the latest developments in all branches of statistical science.
Encyclopedia of Statistical Sciences is the number one source of information on statistical theory, methods, and applications for researchers and clinicians. This new volume is the last of three updates designed to bring the Encyclopedia in line with new and emerging topics and important advances in statistical science made over the past decade. Each self-contained entry is written by a leader in the field and easily understood by readers with a modest statistical background. In addition to the main selections, which feature fascinating discussions of developments in various branches of the statistical sciences, readers will find a series of shorter entries ranging in subject matter from the lives of pioneers in statistics to updates of earlier articles and reviews of statistical agencies and journals. Up-to-date bibliographies, thorough cross-referencing, and extensive indexing facilitate quick access to specific information and provide an indispensable platform for further study and research. A cumulative index and listing of all the entries in the 13 volumes of the Encyclopedia, together with the corresponding authors, are included.
With the publication of this update installment, the Encyclopedia of Statistical Sciences retains its position as the only cutting-edge reference of choice for those working in statistics, probability theory, biostatistics, quality control, and economics and in applications of statistical methods in sociology, engineering, computer and communication science, biomedicine, psychology, and many other areas.

Product Details

ISBN-13: 9780471238836
Publisher: Wiley
Publication date: 04/28/1999
Series: Wiley Series in Probability and Statistics Series , #339
Edition description: REVISED
Pages: 916
Product dimensions: 7.11(w) x 10.35(h) x 1.93(d)

About the Author

About the editors SAMUEL KOTZ, PhD, is currently a visiting scholar at The Department of Operations Research of The George Washington University, in Washington, D.C. Dr. Kotz received his PhD in mathematical statistics from Cornell University and has held distinguished visiting positions at Bucknell University, Bowling Green State University, Tel Aviv University, University of Salford (England), University of York (England), University of Guelph, Harbin Institute of Technology (China), Nanka's University (China), Luleå University (Sweden), and Copenhagen University. He was awarded honorary doctorates from the Harbin Institute of Technology in 1987, the University of Athens (Greece) in 1995, and from Bowling Green State University in 1996. He is an honorary fellow of the Washington Academy of Sciences (1997). In addition to serving as coordinating editor of Journal of Statistical Planning and Inference, Dr. Kotz is the coauthor with Dr. N. L. Johnson of Leading Personalities in Statistical Sciences, the classic four-volume Distributions in Statistics (now in its second expanded edition), Urn Models and Applications, Symmetric Multivariate and Related Distributions, Faulty Inspection Models, Educated Guessing, Process Capability Indices, Recent Results in Information Theory, Breakthroughs in Statistics (3 volumes), several Russian-English technical dictionaries, and more than 100 research papers in the fields of statistics, probability theory, and quality control. CAMPBELL B. READ, PhD, is Professor of Statistical Science at Southern Methodist University, in Dallas, Texas. He studied mathematics at the University of Cambridge, in England, and obtained a PhD in mathematical statistics from the University of North Carolina at Chapel Hill. He is the author of several research papers in sequential analysis, properties of statistical distributions, and contingency table analysis, and is coauthor of the Handbook of the Normal Distribution. He is an elected member of the International Statistical Institute, has served on the faculty of the American University of Beirut, Lebanon, and was a visiting scholar in 1987 at the University of Cambridge. DAVID L. BANKS, PhD, is a mathematical statistician at the National Institute of Standards and Technology (NIST), in Gaithersburg, Maryland. Dr. Banks received his PhD in statistics from Virginia Polytechnic Institute and served on the faculty of Carnegie Mellon University from 1987 to 1997. He has held visiting positions at the University of California at Berkeley and the University of Cambridge.

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