Selecting and Ordering Populations: A New Statistical Methodology (Probability & Mathematical Statistics S.)

Jean Dickinson Gibbons

ISBN 10: 0471026700 / ISBN 13: 9780471026709

Published by John Wiley & Sons Inc, 1977

About this Item

VG paperback.

Seller Inventory # 66786

Bibliographic Details

• Title: Selecting and Ordering Populations: A New Statistical Methodology (Probability & Mathematical Statistics S.)
• Publisher: John Wiley & Sons Inc
• Publication Date: 1977
• Language: English
• ISBN 10: 0471026700
• ISBN 13: 9780471026709
• Binding: Hardcover
• Condition: Used: Very Good
• Seller catalogs:
  • Sociology

About this title

Synopsis

This SIAM Classics edition is an unabridged, corrected republication of the work first published in 1977. It provides a compendium of applied aspects of ordering and selection procedures and includes tables that permit the practitioner to carry out the experiment and draw statistically justified conclusions. These tables are not readily available in other texts. Although more than 1000 papers and several books on the general theory of ranking and selection have been published since this book first appeared, the methodology is presented in a more elementary fashion, with numerous examples to help the reader apply it to a specific problem.

About the Author

Jean Dickinson Gibbons is the Thomas D. Russell Professor Emerita of Applied Statistics at the University of Alabama. She has published numerous articles and books on nonparametric statistics, both theoretical and applied. She has been a Fellow of the American Statistical Association (ASA) since 1972 and was elected to their Board of Directors for four different terms. Ingram Olkin is Professor of Statistics and Education at Stanford University in California and is a member of the SIAM Classics in Applied Mathematics editorial board. He has been a Fellow of the ASA since 1962. He was awarded the Samuel L. Wilks Memorial Medal by the ASA in 1991 and the Elizabeth L. Scott Award by the Committee of Presidents of Statistical Societies (COPSS) in 1998. Milton Sobel is Professor Emeritus of Statistics and Applied Probability at the University of California, Santa Barbara. He is a Fellow of both the ASA and the Institute of Mathematical Statistics (IMS) and was elected a member of the International Statistical Institute (ISI). He has authored several books, published well over 100 journal articles and reports, collaborated with many researchers, and served as advisor to numerous Ph.D. students in statistics.