Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach: Volume 2 Multivariate Statistical Modeling
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Dordrecht
Springer Netherlands
1994
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| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Often a statistical analysis involves use of a set of alternative models for the data. A "model-selection criterion" is a formula which provides a figure-of merit for the alternative models. Generally the alternative models will involve different numhers of parameters. Model-selection criteria take into account hoth the goodness-or-fit of a model and the numher of parameters used to achieve that fit. 1.1. SETS OF ALTERNATIVE MODELS Thus the focus in this paper is on data-analytic situations ill which there is consideration of a set of alternative models. Choice of a suhset of explanatory variahles in regression, the degree of a polynomial regression, the number of factors in factor analysis, or the numher of dusters in duster analysis are examples of such situations. 1.2. MODEL SELECTION VERSUS HYPOTHESIS TESTING In exploratory data analysis or in a preliminary phase of inference an approach hased on model-selection criteria can offer advantages over tests of hypotheses. The model-selection approach avoids the prohlem of specifying error rates for the tests. With model selection the focus can he on simultaneous competition between a hroad dass of competing models rather than on consideration of a sequence of simpler and simpler models |
| Beschreibung: | 1 Online-Ressource (XIII, 417 p) |
| ISBN: | 9789401108003 9789401043441 |
| DOI: | 10.1007/978-94-011-0800-3 |
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| 245 | 1 | 0 | |a Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach |b Volume 2 Multivariate Statistical Modeling |c edited by Hamparsum Bozdogan, Stanley L. Sclove, Arjun K. Gupta, D. Haughton, G. Kitagawa, T. Ozaki, K. Tanabe |
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| 500 | |a Often a statistical analysis involves use of a set of alternative models for the data. A "model-selection criterion" is a formula which provides a figure-of merit for the alternative models. Generally the alternative models will involve different numhers of parameters. Model-selection criteria take into account hoth the goodness-or-fit of a model and the numher of parameters used to achieve that fit. 1.1. SETS OF ALTERNATIVE MODELS Thus the focus in this paper is on data-analytic situations ill which there is consideration of a set of alternative models. Choice of a suhset of explanatory variahles in regression, the degree of a polynomial regression, the number of factors in factor analysis, or the numher of dusters in duster analysis are examples of such situations. 1.2. MODEL SELECTION VERSUS HYPOTHESIS TESTING In exploratory data analysis or in a preliminary phase of inference an approach hased on model-selection criteria can offer advantages over tests of hypotheses. The model-selection approach avoids the prohlem of specifying error rates for the tests. With model selection the focus can he on simultaneous competition between a hroad dass of competing models rather than on consideration of a sequence of simpler and simpler models | ||
| 650 | 4 | |a Statistics | |
| 650 | 4 | |a Statistics, general | |
| 650 | 4 | |a Statistik | |
| 700 | 1 | |a Sclove, Stanley L. |e Sonstige |4 oth | |
| 700 | 1 | |a Gupta, Arjun K. |e Sonstige |4 oth | |
| 700 | 1 | |a Haughton, D. |e Sonstige |4 oth | |
| 700 | 1 | |a Kitagawa, G. |e Sonstige |4 oth | |
| 700 | 1 | |a Ozaki, T. |e Sonstige |4 oth | |
| 700 | 1 | |a Tanabe, K. |e Sonstige |4 oth | |
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Datensatz im Suchindex
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| author | Bozdogan, Hamparsum |
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| bvnumber | BV042423826 |
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| dewey-full | 519.5 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5 |
| dewey-search | 519.5 |
| dewey-sort | 3519.5 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-94-011-0800-3 |
| format | Electronic eBook |
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| id | DE-604.BV042423826 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:14Z |
| institution | BVB |
| isbn | 9789401108003 9789401043441 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027859243 |
| oclc_num | 863720565 |
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| physical | 1 Online-Ressource (XIII, 417 p) |
| psigel | ZDB-2-SMA ZDB-2-BAE ZDB-2-SMA_Archive |
| publishDate | 1994 |
| publishDateSearch | 1994 |
| publishDateSort | 1994 |
| publisher | Springer Netherlands |
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| spelling | Bozdogan, Hamparsum Verfasser aut Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach Volume 2 Multivariate Statistical Modeling edited by Hamparsum Bozdogan, Stanley L. Sclove, Arjun K. Gupta, D. Haughton, G. Kitagawa, T. Ozaki, K. Tanabe Dordrecht Springer Netherlands 1994 1 Online-Ressource (XIII, 417 p) txt rdacontent c rdamedia cr rdacarrier Often a statistical analysis involves use of a set of alternative models for the data. A "model-selection criterion" is a formula which provides a figure-of merit for the alternative models. Generally the alternative models will involve different numhers of parameters. Model-selection criteria take into account hoth the goodness-or-fit of a model and the numher of parameters used to achieve that fit. 1.1. SETS OF ALTERNATIVE MODELS Thus the focus in this paper is on data-analytic situations ill which there is consideration of a set of alternative models. Choice of a suhset of explanatory variahles in regression, the degree of a polynomial regression, the number of factors in factor analysis, or the numher of dusters in duster analysis are examples of such situations. 1.2. MODEL SELECTION VERSUS HYPOTHESIS TESTING In exploratory data analysis or in a preliminary phase of inference an approach hased on model-selection criteria can offer advantages over tests of hypotheses. The model-selection approach avoids the prohlem of specifying error rates for the tests. With model selection the focus can he on simultaneous competition between a hroad dass of competing models rather than on consideration of a sequence of simpler and simpler models Statistics Statistics, general Statistik Sclove, Stanley L. Sonstige oth Gupta, Arjun K. Sonstige oth Haughton, D. Sonstige oth Kitagawa, G. Sonstige oth Ozaki, T. Sonstige oth Tanabe, K. Sonstige oth https://doi.org/10.1007/978-94-011-0800-3 Verlag Volltext |
| spellingShingle | Bozdogan, Hamparsum Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach Volume 2 Multivariate Statistical Modeling Statistics Statistics, general Statistik |
| title | Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach Volume 2 Multivariate Statistical Modeling |
| title_auth | Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach Volume 2 Multivariate Statistical Modeling |
| title_exact_search | Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach Volume 2 Multivariate Statistical Modeling |
| title_full | Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach Volume 2 Multivariate Statistical Modeling edited by Hamparsum Bozdogan, Stanley L. Sclove, Arjun K. Gupta, D. Haughton, G. Kitagawa, T. Ozaki, K. Tanabe |
| title_fullStr | Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach Volume 2 Multivariate Statistical Modeling edited by Hamparsum Bozdogan, Stanley L. Sclove, Arjun K. Gupta, D. Haughton, G. Kitagawa, T. Ozaki, K. Tanabe |
| title_full_unstemmed | Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach Volume 2 Multivariate Statistical Modeling edited by Hamparsum Bozdogan, Stanley L. Sclove, Arjun K. Gupta, D. Haughton, G. Kitagawa, T. Ozaki, K. Tanabe |
| title_short | Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach |
| title_sort | proceedings of the first us japan conference on the frontiers of statistical modeling an informational approach volume 2 multivariate statistical modeling |
| title_sub | Volume 2 Multivariate Statistical Modeling |
| topic | Statistics Statistics, general Statistik |
| topic_facet | Statistics Statistics, general Statistik |
| url | https://doi.org/10.1007/978-94-011-0800-3 |
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