Model selection and multimodel inference: a practical information-theoretic approach
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Weitere Verfasser: | |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY [u.a.]
Springer
2002
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| Ausgabe: | 2. ed. |
| Schlagworte: | |
| Online-Zugang: | DE-20 Volltext |
| Beschreibung: | We wrote this book to introduce graduate students and research workers in various scientific disciplines to the use of information-theoretic approaches in the analysis of empirical data. These methods allow the data-based selection of a "best" model and a ranking and weighting of the remaining models in a pre-defined set. Traditional statistical inference can then be based on this selected best model. However, we now emphasize that information-theoretic approaches allow formal inference to be based on more than one model (multimodel inference). Such procedures lead to more robust inferences in many cases, and we advocate these approaches throughout the book. The second edition was prepared with three goals in mind. First, we have tried to improve the presentation of the material. Boxes now highlight essential expressions and points. Some reorganization has been done to improve the flow of concepts, and a new chapter has been added. Chapters 2 and 4 have been streamlined in view of the detailed theory provided in Chapter 7. Second, concepts related to making formal inferences from more than one model (multimodel inference) have been emphasized throughout the book, but particularly in Chapters 4, 5, and 6. Third, new technical material has been added to Chapters 5 and 6. Well over 100 new references to the technical literature are given. These changes result primarily from our experiences while giving several seminars, workshops, and graduate courses on material in the first edition |
| Beschreibung: | 1 Online-Ressource (XXVI, 488 S.) |
| ISBN: | 9780387224565 |
| DOI: | 10.1007/b97636 |
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Datensatz im Suchindex
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| discipline | Biologie Mathematik Wirtschaftswissenschaften |
| doi_str_mv | 10.1007/b97636 |
| edition | 2. ed. |
| format | Electronic eBook |
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| isbn | 9780387224565 |
| language | English |
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| spelling | Burnham, Kenneth P. Verfasser (DE-588)1018922032 aut Model selection and multimodel inference a practical information-theoretic approach Kenneth P. Burnham ; David R. Anderson 2. ed. New York, NY [u.a.] Springer 2002 1 Online-Ressource (XXVI, 488 S.) txt rdacontent c rdamedia cr rdacarrier We wrote this book to introduce graduate students and research workers in various scientific disciplines to the use of information-theoretic approaches in the analysis of empirical data. These methods allow the data-based selection of a "best" model and a ranking and weighting of the remaining models in a pre-defined set. Traditional statistical inference can then be based on this selected best model. However, we now emphasize that information-theoretic approaches allow formal inference to be based on more than one model (multimodel inference). Such procedures lead to more robust inferences in many cases, and we advocate these approaches throughout the book. The second edition was prepared with three goals in mind. First, we have tried to improve the presentation of the material. Boxes now highlight essential expressions and points. Some reorganization has been done to improve the flow of concepts, and a new chapter has been added. Chapters 2 and 4 have been streamlined in view of the detailed theory provided in Chapter 7. Second, concepts related to making formal inferences from more than one model (multimodel inference) have been emphasized throughout the book, but particularly in Chapters 4, 5, and 6. Third, new technical material has been added to Chapters 5 and 6. Well over 100 new references to the technical literature are given. These changes result primarily from our experiences while giving several seminars, workshops, and graduate courses on material in the first edition Statistics Ecology Mathematical statistics Statistical Theory and Methods Statistics for Life Sciences, Medicine, Health Sciences Statistik Ökologie Modellwahl (DE-588)4304786-5 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Biologie (DE-588)4006851-1 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Biologie (DE-588)4006851-1 s Mathematisches Modell (DE-588)4114528-8 s 1\p DE-604 Modellwahl (DE-588)4304786-5 s Datenanalyse (DE-588)4123037-1 s 2\p DE-604 Statistik (DE-588)4056995-0 s 3\p DE-604 Anderson, David Raymond 1942- Verfasser (DE-588)122291727 aut Erscheint auch als Druck-Ausgabe 978-0-387-95364-9 Erscheint auch als Druck-Ausgabe 978-1-4419-2973-0 https://doi.org/10.1007/b97636 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Model selection and multimodel inference a practical information-theoretic approach Statistics Ecology Mathematical statistics Statistical Theory and Methods Statistics for Life Sciences, Medicine, Health Sciences Statistik Ökologie Modellwahl (DE-588)4304786-5 gnd Datenanalyse (DE-588)4123037-1 gnd Mathematisches Modell (DE-588)4114528-8 gnd Biologie (DE-588)4006851-1 gnd Statistik (DE-588)4056995-0 gnd Burnham, Kenneth P. Anderson, David Raymond 1942- |
| subject_GND | (DE-588)4304786-5 (DE-588)4123037-1 (DE-588)4114528-8 (DE-588)4006851-1 (DE-588)4056995-0 |
| title | Model selection and multimodel inference a practical information-theoretic approach |
| title_auth | Model selection and multimodel inference a practical information-theoretic approach |
| title_exact_search | Model selection and multimodel inference a practical information-theoretic approach |
| title_full | Model selection and multimodel inference a practical information-theoretic approach Kenneth P. Burnham ; David R. Anderson |
| title_fullStr | Model selection and multimodel inference a practical information-theoretic approach Kenneth P. Burnham ; David R. Anderson |
| title_full_unstemmed | Model selection and multimodel inference a practical information-theoretic approach Kenneth P. Burnham ; David R. Anderson |
| title_short | Model selection and multimodel inference |
| title_sort | model selection and multimodel inference a practical information theoretic approach |
| title_sub | a practical information-theoretic approach |
| topic | Statistics Ecology Mathematical statistics Statistical Theory and Methods Statistics for Life Sciences, Medicine, Health Sciences Statistik Ökologie Modellwahl (DE-588)4304786-5 gnd Datenanalyse (DE-588)4123037-1 gnd Mathematisches Modell (DE-588)4114528-8 gnd Biologie (DE-588)4006851-1 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Statistics Ecology Mathematical statistics Statistical Theory and Methods Statistics for Life Sciences, Medicine, Health Sciences Statistik Ökologie Modellwahl Datenanalyse Mathematisches Modell Biologie |
| url | https://doi.org/10.1007/b97636 |
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