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Computational Statistics: Volume 1: Proceedings of the 10th Symposium on Computational Statistics: v. 1 (Computational Statistics: Proceedings of the 10th Symposium on Computational Statistics) - Hardcover
Inhaltsangabe
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 ¢raction 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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Reseña del editor
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 ¢raction 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.
Reseña del editor
The papers assembled in this book were presented at the biannual Symposium of the International Association for Statistical Computing in Neuchatel, Switzerland, in August 1992. This congress maintains the tradition of providing a forum for the open discussion of progress made in computer oriented statistics and the dissemination of new ideas throughout the statistical community. The papers are published in two volumes according to the emphasis of the topics: volume 1 gives a slight leaning towards statistics and modelling, while volume 2 concentrates on computation. This volume brings together a wide range of topics and perspectives in the field of statistics. It contains invited and contributed papers that are grouped for the ease of orientation in ten parts: statistical modelling; multivariate analysis; classification and discrimination; symbolic data; graphical models; time series models; nonlinear regression; robust and smoothing techniques; industrial applications: pharmaceutics and quality control; and Bayesian statistics.
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Computational Statistics, Vol.1: Volume 1: Proceedings of the 10th Symposium on Computational Statistics.
Verlag:
Physica, Springer; Heidelberg,, 1992
ISBN 10: 379080634X
ISBN 13: 9783790806342
Gebraucht
Hardcover
Anbieter: Die Wortfreunde - Antiquariat Wirthwein Matthias Wirthwein, Mannheim, Deutschland
Verkäuferbewertung 4 von 5 Sternen
OPp, Gebundene Ausgabe. Auflage: 1. 595 Seiten Fast neuwertiges, ungelesenes Exemplar. Sprache: Englisch Gewicht in Gramm: 1112. Bestandsnummer des Verkäufers 66668
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