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A Conference took place in 1994 in Taiwan in celebration of Seymour's 65th birthday. This volume contains the proceedings from that conference. It was published in 1996. It contains papers by many distinguished statisticians in areas of interest to Seymour including general methodology, prediction theory, design of experiments and classification, Bayesian inference, testing and model selection, modelling and prediction in finance and time series modeling.
Seymour was a leader in the development of the Department of Statistics at the University of Minnesota and personal reminiscences are given by Marvin Zelen and David Lane about Seymour during his terms at SUNY at Buffalo and at the University of Minnesota. Seymour is well known for his work in Bayesian prediction, DNA forensic science and sample reuse. His approach to statistical inference is summarized in his book on predictive inference.
These proceedings include 27 papers presented at that conference. The editors, Jack Lee, Wesley Johnson and Arnold Zellner all contributed interesting articles. Many other prominent Bayesian statisticians also contributed articles including Leonard and Hsu, Press, Geweke, Tiao, Berger, McCulloch, Parmigiani and Zelen.
This volume gives you a perspective on Seymour Geisser as a man and an influential statistician and presents an interesting body of research that will interest many statistical researchers, especially Bayesians.
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Eiffel is presented, from a simple "Hello, world!" example through advanced language elements like exception handling, repeated inheritance, typing issues, and (strangely) parallel implementations. The author also provides a general introduction to object-oriented concepts, for those new to objects. A discussion of the primary Eiffel environments and libraries is included, for those interested in an objective view of the competing products in the area.
To fulfill the software engineering aspect of the text, a discussion of object analysis and modeling with an Eiffel twist is included. This section is somewhat out-of-date, given that it does not even mention the Unified Modeling Language, choosing instead to focus on one of its precursors, OMT.
The author went the extra mile, to his credit, with a discussion ! of verification and validation in an Eiffel context and a full Eiffel case study, a parallel linear algebra library.
This is a fine overview book of the Eiffel language, environments, and libraries for a software designer or developer. In particular, those developers that use good software engineering practices (analysis, modeling, testing, etc.) will appreciate the coverage of said topics within these covers.
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