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Title: Statistical Theory and Applications: Papers in Honor of Herbert A. David by H. N. Nagaraja, Pranab Kumar Sen, Donald F. Morrison ISBN: 0-387-94591-1 Publisher: Springer-Verlag Telos Pub. Date: 01 October, 1995 Format: Hardcover Volumes: 1 List Price(USD): $108.00

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Average Customer Rating: 5 (1 review)

Rating: 5
Summary: excellent collection of papers honoring David
Comment: Herbert A. David turned 70 in 1995. Much of his long career was spent as chairman of the Department of Statistics at Iowa State University. David is well known for his authoritative texts on pairwise comparison methods and order statistics.

He is known as H. A. at Iowa State so as not to confuse him with his colleague Herbert T. David who also is a Professor of Statistics at Iowa State. In fact at the end of this book Herbert T. David write a very interest review of the life and career of Herbert A. David.

H. A. David made major contributions to the theory and application of order statistics, biostatistics and the design of experiments. This is reflected in the topics chosen by the distinguished statisticians that contributed articles, most of whom are students or colleagues of David.

Noel Cressie write on a generalization of Akaike's information criterion for model selection. Dunnett talks about applications of the multivariate t distribution. Galambos and Xu discuss multivariate Bonferroni-type inequalities. Kale and Sebastian provide some interesting examples of distributions that are symmetric and have kurtosis equal to 3 (the same as for the Normal Distribution) but are non-normal. Some of the densities have very unusual shapes. These are a few of the papers under the general category of "General Distribution Theory and Inference". The articles are all entertaining and interesting and some contained discussion of David's contributions to statistics. Other anecdotes and appreciation letters were combined in the last chapter in this volume.

The volume includes six papers on general distribution theory and inference, six on the distribution theory of order statistics, five on the use of order statistics for statistical inference and applications, three on analysis of variance and experimental design and four on biometry and biomedical applications.