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Computational Statistics - Volume 1: Proceedings of the 10th Symposium on Computational Statistics (Paperback, Softcover reprint of the original 1st ed. 1992)
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Computational Statistics - Volume 1: Proceedings of the 10th Symposium on Computational Statistics (Paperback, Softcover reprint of the original 1st ed. 1992)
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The Role of the Computer in Statistics David Cox Nuffield College,
Oxford OXIINF, U.K. A classification of statistical problems via
their computational demands hinges on four components (I) the
amount and complexity of the data, (il) the specificity of the
objectives of the analysis, (iii) the broad aspects of the approach
to analysis, (ill) the conceptual, mathematical and numerical
analytic complexity of the methods. Computational requi rements may
be limiting in (I) and (ill), either through the need for special
programming effort, or because of the difficulties of initial data
management or because of the load of detailed analysis. The
implications of modern computational developments for statistical
work can be illustrated in the context of the study of specific
probabilistic models, the development of general statistical
theory, the design of investigations and the analysis of empirical
data. While simulation is usually likely to be the most sensible
way of investigating specific complex stochastic models,
computerized algebra has an obvious role in the more analyti cal
work. It seems likely that statistics and applied probability have
made insufficient use of developments in numerical analysis
associated more with classical applied mathematics, in particular
in the solution of large systems of ordinary and partial
differential equations, integral equations and integra-differential
equations and for the centsraction of "useful" in formation from
integral transforms. Increasing emphasis on models incorporating
specific subject-matter considerations is one route to bridging the
gap between statistical ana."
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