The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields. With these new unabridged and inexpensive editions, Wiley hopes to extend the life of these important works by making them available to future generations of mathematicians and scientists. Currently available in the Series: T. W. Anderson The Statistical Analysis of Time Series T. S. Arthanari & Yadolah Dodge Mathematical Programming in Statistics Emil Artin Geometric Algebra Norman T. J. Bailey The Elements of Stochastic Processeswith Applications to the Natural Sciences Robert G. Bartle The Elements of Integration and Lebesgue Measure George E. P. Box & Norman R. Draper Evolutionary Operation: A Statistical Method for Process Improvement George E. P. Box & George C. Tiao Bayesian Inference in Statistical Analysis R. W. Carter Finite Groups of Lie Type: Conjugacy Classes and Complex Characters R. W. Carter Simple Groups of Lie Type William G. Cochran & Gertrude M. Cox Experimental Designs , Second Edition Richard Courant Differential and Integral Calculus, Volume I Richard Courant Differential and Integral Calculus, Volume II Richard Courant & D. Hilbert Methods of Mathematical Physics, Volume I Richard Courant & D. Hilbert Methods of Mathematical Physics, Volume II D. R. Cox Planning of Experiments Harold S. M. Coxeter Introduction to Geometry , Second Edition Charles W. Curtis & Irving Reiner Representation Theory of Finite Groups andAssociative Algebras Charles W. Curtis & Irving Reiner Methods of Representation Theory with Applications to Finite Groups and Orders, Volume I Charles W. Curtis & Irving Reiner Methods of Representation Theory with Applications to Finite Groups and Orders, Volume II Cuthbert Daniel & Fred S. Wood Fitting Equations to Data: Computer Analysis of Multifactor Data, Second Edition Bruno de Finetti Theory of Probability, Volume I Bruno de Finetti Theory of Probability, Volume II Morris H. DeGroot Optimal Statistical Decisions W. Edwards Deming Sample Design in Business Research Amos de Shalit & Herman Feshbach Theoretical Nuclear Physics, Volume 1 Nuclear Structure Harold F. Dodge & Harry G. Romig Sampling Inspection Tables: Single and Double Sampling J. L. Doob Stochastic Processes
Byron Brown is an MD PhD and is a professor at Stanford who works in the medical school and helps the Stanford statistics PhD students in their consulting and dissertation research. When I was at Stanford Brown along with the late Rupert Miller and Brad Efron formed the core of the Stanford biostatistics research and they produced some very fine biostatisticians in Sue Leargans, John Hyde, Nancy Reid, Beth Gladen, Gail Gong and Carol Link. Under Rupert Miller's leadership much of the consulting work was documented in the Biostatistics Casebook that Wiley published. Myles Hollander was a graduate student at Stanford who at an earlier time (prior to 1974) graduated and made a name for himself at Florida State University and as an author of books on nonparametric statistical methods. Brown and Hollander teamed to write this impeccable traditional biostatistics text. It has wisely been added to the Wiley classics series and so is available at a reasonable price in paperback. There have been many advances in biostatistics over the last 25 years and this is not reflected in this book which is a reprint of a text that was originally published around 1970. This is a great reference book for anyone with the caveat that other books must be consulted for current results.
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