Functional data analysis:
Scientists today often collect samples of curves and other functional observations. This monograph presents many ideas and techniques for such data. Included are expressions in the functional domain of such classics as linear regression, principal components analysis, linear modeling, and canonical...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | German |
| Veröffentlicht: |
New York [u.a.]
Springer
1997
|
| Schriftenreihe: | Springer series in statistics
|
| Schlagworte: | |
| Zusammenfassung: | Scientists today often collect samples of curves and other functional observations. This monograph presents many ideas and techniques for such data. Included are expressions in the functional domain of such classics as linear regression, principal components analysis, linear modeling, and canonical correlation analysis, as well as specifically functional techniques such as curve registration and principal differential analysis. Data arising in real applications are used throughout for both motivation and illustration, showing how functional approaches allow us to see new things, especially by exploiting the smoothness of the processes generating the data. The data sets exemplify the wide scope of functional data analysis, drawing from the fields of growth analysis, meteorology, biomechanics, equine science, economics, and medicine The book presents novel statistical technology while keeping the mathematical level widely accessible. It is designed to appeal to students, applied data analysts, and experienced researchers, and will have value both within the statistics community and across a broad spectrum of other fields. Much of the material is based on the authors' own work, some of which appears here for the first time |
| Beschreibung: | Literaturverz. S. 293 - 302 |
| Beschreibung: | XIV, 310 S. graph. Darst. |
| ISBN: | 0387949569 |
Internformat
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| 245 | 1 | 0 | |a Functional data analysis |c J. O. Ramsay ; B. W. Silverman |
| 264 | 1 | |a New York [u.a.] |b Springer |c 1997 | |
| 300 | |a XIV, 310 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
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| 490 | 0 | |a Springer series in statistics | |
| 500 | |a Literaturverz. S. 293 - 302 | ||
| 520 | 3 | |a Scientists today often collect samples of curves and other functional observations. This monograph presents many ideas and techniques for such data. Included are expressions in the functional domain of such classics as linear regression, principal components analysis, linear modeling, and canonical correlation analysis, as well as specifically functional techniques such as curve registration and principal differential analysis. Data arising in real applications are used throughout for both motivation and illustration, showing how functional approaches allow us to see new things, especially by exploiting the smoothness of the processes generating the data. The data sets exemplify the wide scope of functional data analysis, drawing from the fields of growth analysis, meteorology, biomechanics, equine science, economics, and medicine | |
| 520 | |a The book presents novel statistical technology while keeping the mathematical level widely accessible. It is designed to appeal to students, applied data analysts, and experienced researchers, and will have value both within the statistics community and across a broad spectrum of other fields. Much of the material is based on the authors' own work, some of which appears here for the first time | ||
| 650 | 7 | |a Analyse discriminante |2 ram | |
| 650 | 7 | |a Analyse en composantes principales |2 ram | |
| 650 | 7 | |a Analyse multivariée |2 rameau | |
| 650 | 7 | |a Corrélation (statistique) |2 ram | |
| 650 | 7 | |a Multivariate analyse |2 gtt | |
| 650 | 7 | |a Opérateurs différentiels |2 ram | |
| 650 | 7 | |a analyse composante principale |2 inriac | |
| 650 | 7 | |a analyse donnée |2 inriac | |
| 650 | 7 | |a analyse plurivalente |2 inriac | |
| 650 | 7 | |a corrélation |2 inriac | |
| 650 | 7 | |a discrimination |2 inriac | |
| 650 | 7 | |a opérateur différentiel |2 inriac | |
| 650 | 7 | |a pénalisation |2 inriac | |
| 650 | 7 | |a statistique descriptive |2 inriac | |
| 650 | 4 | |a Multivariate analysis | |
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| 689 | 0 | 1 | |a Funktionalgleichung |0 (DE-588)4018923-5 |D s |
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| 700 | 1 | |a Silverman, B. W. |d 1952- |e Verfasser |0 (DE-588)170081745 |4 aut | |
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Datensatz im Suchindex
| _version_ | 1804126029937115136 |
|---|---|
| any_adam_object | |
| author | Ramsay, James O. Silverman, B. W. 1952- |
| author_GND | (DE-588)1055797807 (DE-588)170081745 |
| author_facet | Ramsay, James O. Silverman, B. W. 1952- |
| author_role | aut aut |
| author_sort | Ramsay, James O. |
| author_variant | j o r jo jor b w s bw bws |
| building | Verbundindex |
| bvnumber | BV011508796 |
| callnumber-first | Q - Science |
| callnumber-label | QA278 |
| callnumber-raw | QA278.R36 1997 |
| callnumber-search | QA278.R36 1997 |
| callnumber-sort | QA 3278 R36 41997 |
| callnumber-subject | QA - Mathematics |
| classification_rvk | QH 234 SK 830 SK 840 |
| ctrlnum | (OCoLC)36188392 (DE-599)BVBBV011508796 |
| dewey-full | 519.5 519.521 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5 519.5 21 |
| dewey-search | 519.5 519.5 21 |
| dewey-sort | 3519.5 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik Wirtschaftswissenschaften |
| format | Book |
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| id | DE-604.BV011508796 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T18:10:58Z |
| institution | BVB |
| isbn | 0387949569 |
| language | German |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-007745102 |
| oclc_num | 36188392 |
| open_access_boolean | |
| owner | DE-29T DE-739 DE-703 DE-384 DE-19 DE-BY-UBM DE-824 DE-521 DE-634 DE-83 DE-11 DE-188 |
| owner_facet | DE-29T DE-739 DE-703 DE-384 DE-19 DE-BY-UBM DE-824 DE-521 DE-634 DE-83 DE-11 DE-188 |
| physical | XIV, 310 S. graph. Darst. |
| publishDate | 1997 |
| publishDateSearch | 1997 |
| publishDateSort | 1997 |
| publisher | Springer |
| record_format | marc |
| series2 | Springer series in statistics |
| spelling | Ramsay, James O. Verfasser (DE-588)1055797807 aut Functional data analysis J. O. Ramsay ; B. W. Silverman New York [u.a.] Springer 1997 XIV, 310 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Springer series in statistics Literaturverz. S. 293 - 302 Scientists today often collect samples of curves and other functional observations. This monograph presents many ideas and techniques for such data. Included are expressions in the functional domain of such classics as linear regression, principal components analysis, linear modeling, and canonical correlation analysis, as well as specifically functional techniques such as curve registration and principal differential analysis. Data arising in real applications are used throughout for both motivation and illustration, showing how functional approaches allow us to see new things, especially by exploiting the smoothness of the processes generating the data. The data sets exemplify the wide scope of functional data analysis, drawing from the fields of growth analysis, meteorology, biomechanics, equine science, economics, and medicine The book presents novel statistical technology while keeping the mathematical level widely accessible. It is designed to appeal to students, applied data analysts, and experienced researchers, and will have value both within the statistics community and across a broad spectrum of other fields. Much of the material is based on the authors' own work, some of which appears here for the first time Analyse discriminante ram Analyse en composantes principales ram Analyse multivariée rameau Corrélation (statistique) ram Multivariate analyse gtt Opérateurs différentiels ram analyse composante principale inriac analyse donnée inriac analyse plurivalente inriac corrélation inriac discrimination inriac opérateur différentiel inriac pénalisation inriac statistique descriptive inriac Multivariate analysis Multivariate Analyse (DE-588)4040708-1 gnd rswk-swf Funktionalgleichung (DE-588)4018923-5 gnd rswk-swf Multivariate Analyse (DE-588)4040708-1 s Funktionalgleichung (DE-588)4018923-5 s DE-604 Silverman, B. W. 1952- Verfasser (DE-588)170081745 aut |
| spellingShingle | Ramsay, James O. Silverman, B. W. 1952- Functional data analysis Analyse discriminante ram Analyse en composantes principales ram Analyse multivariée rameau Corrélation (statistique) ram Multivariate analyse gtt Opérateurs différentiels ram analyse composante principale inriac analyse donnée inriac analyse plurivalente inriac corrélation inriac discrimination inriac opérateur différentiel inriac pénalisation inriac statistique descriptive inriac Multivariate analysis Multivariate Analyse (DE-588)4040708-1 gnd Funktionalgleichung (DE-588)4018923-5 gnd |
| subject_GND | (DE-588)4040708-1 (DE-588)4018923-5 |
| title | Functional data analysis |
| title_auth | Functional data analysis |
| title_exact_search | Functional data analysis |
| title_full | Functional data analysis J. O. Ramsay ; B. W. Silverman |
| title_fullStr | Functional data analysis J. O. Ramsay ; B. W. Silverman |
| title_full_unstemmed | Functional data analysis J. O. Ramsay ; B. W. Silverman |
| title_short | Functional data analysis |
| title_sort | functional data analysis |
| topic | Analyse discriminante ram Analyse en composantes principales ram Analyse multivariée rameau Corrélation (statistique) ram Multivariate analyse gtt Opérateurs différentiels ram analyse composante principale inriac analyse donnée inriac analyse plurivalente inriac corrélation inriac discrimination inriac opérateur différentiel inriac pénalisation inriac statistique descriptive inriac Multivariate analysis Multivariate Analyse (DE-588)4040708-1 gnd Funktionalgleichung (DE-588)4018923-5 gnd |
| topic_facet | Analyse discriminante Analyse en composantes principales Analyse multivariée Corrélation (statistique) Multivariate analyse Opérateurs différentiels analyse composante principale analyse donnée analyse plurivalente corrélation discrimination opérateur différentiel pénalisation statistique descriptive Multivariate analysis Multivariate Analyse Funktionalgleichung |
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