970 resultados para computer algorithm


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Extra t.p., with thesis statement, inserted.

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Originally presented as the author's thesis (M.S.)--University of Illinois at Urbana-Champaign, 1971.

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Bibliography: p. 29.

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Thesis (M. S.)--University of Illinois at Urbana-Champaign.

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"Supported in part by the Atomic Energy Commission under grant US AEC AT(11-1)2118."

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Includes bibliographical references.

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Bibliography: p. 29.

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Mode of access: Internet.

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"Supported in part by the Dept. of Computer Science, University of Illinois ... and in part by the Advanced Research Projects Agency ... under Contract no. U.S. AF 30(602)4144."

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The modelling of inpatient length of stay (LOS) has important implications in health care studies. Finite mixture distributions are usually used to model the heterogeneous LOS distribution, due to a certain proportion of patients sustaining-a longer stay. However, the morbidity data are collected from hospitals, observations clustered within the same hospital are often correlated. The generalized linear mixed model approach is adopted to accommodate the inherent correlation via unobservable random effects. An EM algorithm is developed to obtain residual maximum quasi-likelihood estimation. The proposed hierarchical mixture regression approach enables the identification and assessment of factors influencing the long-stay proportion and the LOS for the long-stay patient subgroup. A neonatal LOS data set is used for illustration, (C) 2003 Elsevier Science Ltd. All rights reserved.