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Simultaneous Statistical Inference (Springer Series in Statistics), by Rupert G. Jr. Miller
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Simultaneous Statistical Inference, which was published originally in 1966 by McGraw-Hill Book Company, went out of print in 1973. Since then, it has been available from University Microfilms International in xerox form. With this new edition Springer-Verlag has republished the original edition along with my review article on multiple comparisons from the December 1977 issue of the Journal of the American Statistical Association. This review article covered developments in the field from 1966 through 1976. A few minor typographical errors in the original edition have been corrected in this new edition. A new table of critical points for the studentized maximum modulus is included in this second edition as an addendum. The original edition included the table by K. C. S. Pillai and K. V. Ramachandran, which was meager but the best available at the time. This edition contains the table published in Biometrika in 1971 by G. 1. Hahn and R. W. Hendrickson, which is far more comprehensive and therefore more useful. The typing was ably handled by Wanda Edminster for the review article and Karola Decleve for the changes for the second edition. My wife, Barbara, again cheerfully assisted in the proofreading. Fred Leone kindly granted permission from the American Statistical Association to reproduce my review article. Also, Gerald Hahn, Richard Hendrickson, and, for Biometrika, David Cox graciously granted permission to reproduce the new table of the studentized maximum modulus. The work in preparing the review article was partially supported by NIH Grant ROI GM21215.
- Sales Rank: #3619391 in Books
- Published on: 2013-10-04
- Released on: 2013-10-04
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .73" w x 6.10" l, .99 pounds
- Binding: Paperback
- 299 pages
Most helpful customer reviews
32 of 32 people found the following review helpful.
great book in simultaneous inference
By Michael R. Chernick
Rupert Miller was a great teacher, writer and research. He was very well known and appreciated for his work as editor of the Annals of Statistics, for his work on the jackknife and for his teaching. I took the graduate course in applied statistics from him at Stanford and in a department of many great statistician and teachers he stood out as the best teacher. He has also published "Biostatistics Casebook" , "Survival Analysis", "Beyond ANOVA" and two editions of this book. He died many years ago from cancer and is sorely missed.
As with his other books in this book he takes a difficult topic and explains it very clearly. I recommend all his books and refer to this one when considering multiple comparison procedures. It unfortunately does not include any of the research past the early 1980s. So for the latter developments I would recommend the book by Westfall and Young and the text by Jason Hsu.
29 of 29 people found the following review helpful.
Great introduction to a topic that continues to gain importance in biostatistics
By Michael R. Chernick
As with every book he wrote, the late Professor Miller gives a thorough and scholarly treatment to a difficult topic. This 1981 edition is the second edition of this book originally published by a different publisher in 1966. Both editions have been heavily cited in the statistical literature. This gives you everything you every wanted to know about simultaneous confidence intervals and hypotheses test but were afraid to ask. It is a great reference book.
As the 21 century began the uses of simultaneous inference in biostatistics and particularly clinical trials has grown. One should now also consult Jason Hsu's book Multiple Comparisons. The p-value adjustemnt approach is givenin the resampling book by Westfall and Young. New ideas when the number of hypotheses tests becomes very large is the concept of a false discovery rate.
Miller's book is outdated in some respects but the classical techniques of Tukey, Dunnett and Scheffe are still in use and I would definitely recommend this book as a first reference for someone needing a basic clear introduction to the topic.
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