NORMAN L. JOHNSON, PhD, DSc, is Professor Emeritus in the Department of Statistics at the University of North Carolina at Chapel Hill. Dr. Johnson received his PhD and DSc degrees in statistics from the University of London, and has taught at University College, London, the Case Institute of Technology, and the University of New South Wales. He is coauthor of Univariate Discrete Distributions, Second Edition (with Samuel Kotz and Adrienne W. Kemp), and Continuous Univariate Distributions, Volumes 1 and 2, Second Edition (with Samuel Kotz and N. Balakrishnan). Dr. Johnson was Editor in Chief (with Samuel Kotz) of the ten-volume Encyclopedia of Statistical Sciences, and he is currently Associate Editor of Metron and a member of the editorial board of Sequential Analysis.

SAMUEL KOTZ, PhD, is Professor of Statistics in the Department of Management Science and Statistics at the University of Maryland at College Park. 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 Guelph, Harbin Institute of Technology (China), and Lule? University (Sweden). He is the coauthor of Urn Models and Applications, Symmetric Multivariate and Related Distributions, Educated Guessing, and Process Capability Indices. He is Coordinating Editor of Journal of Statistical Planning and Inference.

N. BALAKRISHNAN, PhD, is Professor in the Department of Mathematics and Statistics at McMaster University, Hamilton, Ontario, Canada. In addition to publishing many research papers, he has authored or coauthored numerous books, including A First Course in Order Statistics and Order Statistics and Inference: Estimation Methods. Dr. Balakrishnan serves on the editorial board of many journals, including Communications in Statistics, Computational Statistics & Data Analysis, IEEE Transactions on Reliability, Naval Research Logistics Quarterly, IIE Transactions, American Journal of Mathematical and Management Sciences, and Journal of Applied Statistical Science.