Mathematical Sciences Computing Research Environments

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The Biometrics Unit at Cornell University will purchase a dual processor Sparcstation20, 4 Sparcstation5's and 5 Xterminals with supporting peripherals and software to equip a research computing facility to support research in the mathematical sciences. The equipment will be used for several research projects, including in particular: 1. Semiparametric Longitudinal Data Analysis, by Naomi S. Altman 2. Implementing Accurate Approximations, by George Casella 3. Statistical Problems in Molecular Biology, by Gary A. Churchill 4. Estimation in Generalized Linear Mixed Models, by Charles E. McCulloch 5. Local Regression Methods, by David Ruppert. All 5 projects require the use of a powerful computer and software for computational work, simulation and symbolic algebra.