Computational Statistics: Volume 1: Proceedings of the 10th Symposium on Computational Statistics
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...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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Heidelberg
Physica-Verlag HD
1992
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| Ausgabe: | 1st ed. 1992 |
| Schlagworte: | |
| Online-Zugang: | DE-634 URL des Erstveröffentlichers |
| Zusammenfassung: | 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. |
| Beschreibung: | 1 Online-Ressource (XVI, 579 p. 18 illus) |
| ISBN: | 9783662268117 |
| DOI: | 10.1007/978-3-662-26811-7 |
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| 520 | |a 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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| edition | 1st ed. 1992 |
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| spelling | Computational Statistics Volume 1: Proceedings of the 10th Symposium on Computational Statistics edited by Yadolah Dodge, Joe Whittaker 1st ed. 1992 Heidelberg Physica-Verlag HD 1992 1 Online-Ressource (XVI, 579 p. 18 illus) txt rdacontent c rdamedia cr rdacarrier 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. Economic Theory/Quantitative Economics/Mathematical Methods Statistics for Business, Management, Economics, Finance, Insurance Probability Theory and Stochastic Processes Data Structures and Information Theory Economic theory Statistics Probabilities Data structures (Computer science) Computer (DE-588)4070083-5 gnd rswk-swf Datenverarbeitung (DE-588)4011152-0 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf (DE-588)1071861417 Konferenzschrift gnd-content (DE-588)1071861417 Konferenzschrift 1992 Neuenburg, Schweiz gnd-content Statistik (DE-588)4056995-0 s Datenverarbeitung (DE-588)4011152-0 s DE-604 Computer (DE-588)4070083-5 s Dodge, Yadolah edt Whittaker, Joe edt Erscheint auch als Druck-Ausgabe 9783662268131 Erscheint auch als Druck-Ausgabe 9783662268124 Erscheint auch als Druck-Ausgabe 9783790806342 https://doi.org/10.1007/978-3-662-26811-7 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Computational Statistics Volume 1: Proceedings of the 10th Symposium on Computational Statistics Economic Theory/Quantitative Economics/Mathematical Methods Statistics for Business, Management, Economics, Finance, Insurance Probability Theory and Stochastic Processes Data Structures and Information Theory Economic theory Statistics Probabilities Data structures (Computer science) Computer (DE-588)4070083-5 gnd Datenverarbeitung (DE-588)4011152-0 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4070083-5 (DE-588)4011152-0 (DE-588)4056995-0 (DE-588)1071861417 |
| title | Computational Statistics Volume 1: Proceedings of the 10th Symposium on Computational Statistics |
| title_auth | Computational Statistics Volume 1: Proceedings of the 10th Symposium on Computational Statistics |
| title_exact_search | Computational Statistics Volume 1: Proceedings of the 10th Symposium on Computational Statistics |
| title_exact_search_txtP | Computational Statistics Volume 1: Proceedings of the 10th Symposium on Computational Statistics |
| title_full | Computational Statistics Volume 1: Proceedings of the 10th Symposium on Computational Statistics edited by Yadolah Dodge, Joe Whittaker |
| title_fullStr | Computational Statistics Volume 1: Proceedings of the 10th Symposium on Computational Statistics edited by Yadolah Dodge, Joe Whittaker |
| title_full_unstemmed | Computational Statistics Volume 1: Proceedings of the 10th Symposium on Computational Statistics edited by Yadolah Dodge, Joe Whittaker |
| title_short | Computational Statistics |
| title_sort | computational statistics volume 1 proceedings of the 10th symposium on computational statistics |
| title_sub | Volume 1: Proceedings of the 10th Symposium on Computational Statistics |
| topic | Economic Theory/Quantitative Economics/Mathematical Methods Statistics for Business, Management, Economics, Finance, Insurance Probability Theory and Stochastic Processes Data Structures and Information Theory Economic theory Statistics Probabilities Data structures (Computer science) Computer (DE-588)4070083-5 gnd Datenverarbeitung (DE-588)4011152-0 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Economic Theory/Quantitative Economics/Mathematical Methods Statistics for Business, Management, Economics, Finance, Insurance Probability Theory and Stochastic Processes Data Structures and Information Theory Economic theory Statistics Probabilities Data structures (Computer science) Computer Datenverarbeitung Statistik Konferenzschrift Konferenzschrift 1992 Neuenburg, Schweiz |
| url | https://doi.org/10.1007/978-3-662-26811-7 |
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