Model selection and multimodel inference : a practical information-theoretic approach
Autor*in: |
Burnham, Kenneth P. [verfasserIn] Anderson, David Ray - 1941- [verfasserIn] Anderson, David Raymond - 1942- [verfasserIn] |
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Format: |
Buch |
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Sprache: |
Englisch |
Erschienen: |
New York Berlin Heidelberg u.a.: Springer ; 2002 |
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Ausgabe: |
2. ed. |
Schlagwörter: | |
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Schlagwörter: |
Systematik: |
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Anmerkung: |
Literaturverz. S. [455] - 484 Frühere Aufl. u.d.T.: Burnham, Kenneth P.: Model selection and inference |
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Umfang: |
XXVI, 488 S. ; Ill., graph. Darst. ; 24 cm |
Links: | |
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ISBN: |
0-387-95364-7 978-0-387-95364-9 |
Katalog-ID: |
338903577 |
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100 | 1 | |a Burnham, Kenneth P. |e verfasserin |4 aut | |
245 | 1 | 0 | |a Model selection and multimodel inference |b a practical information-theoretic approach |c Kenneth P. Burnham; David R. Anderson |
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650 | 4 | |a Informationstheorie | |
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2001057677 02,A48,1209 dnb 0387953647 UK 965471810 DE-101 0387953647 alk. paper 0-387-95364-7 9780387953649 : alk. paper 978-0-387-95364-9 9780387953649 12001-57677 Identnummer (DE-627)338903577 (DE-576)10249908X (DE-599)GBV338903577 (OCoLC)264995692 (OCoLC)48557578 (AT-OBV)AC03457070 (ZBM)1005.62007 (ZBM)1005.62007 DE-627 ger DE-627 rakwb eng XD-US QH323.5 QH 323.5 32 sdnb 15 27 32 sdnb SK 950 rvk (DE-625)rvk/143273: WC 7000 rvk (DE-625)rvk/148142: *62B10 msc 62-01 msc 62-02 msc 31.73 bkl a Burnham, Kenneth P. verfasserin aut Model selection and multimodel inference a practical information-theoretic approach Kenneth P. Burnham; David R. Anderson 2. ed. Pp. : EUR 85.55 New York Berlin Heidelberg [u.a.] Springer 2002 XXVI, 488 S. Ill., graph. Darst. 24 cm Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Literaturverz. S. [455] - 484 Frühere Aufl. u.d.T.: Burnham, Kenneth P.: Model selection and inference Archivierung/Langzeitarchivierung gewährleistet PEBW XA-DE-BW pdager DE-31 Archivierung prüfen 20240324 DE-4165 3 pdager Biology Mathematical models Mathematical statistics Statistics Models, Theoretical Biology Mathematics Statistische Methodenlehre Mathematisches Modell Informationstheorie Datenanalyse s.Biologie++s.Statistik s (DE-588)4006851-1 (DE-627)106375911 (DE-576)208867503 Biologie gnd s (DE-588)4114528-8 (DE-627)105821527 (DE-576)209485361 Mathematisches Modell gnd DE-101 Anderson, David Ray 1941- verfasserin (DE-588)122291565 (DE-627)060182342 (DE-576)182138569 aut Anderson, David Raymond 1942- verfasserin (DE-588)122291727 (DE-627)705849791 (DE-576)182851656 aut http://www.loc.gov/catdir/enhancements/fy0816/2001057677-d.html 2014-07-08 Verlag Verlagsangaben http://d-nb.info/965471810/04 B:DE-101 pdf/application 20161127003401 Verlag Inhaltsverzeichnis https://swbplus.bsz-bw.de/bsz10249908xcov.jpg V:DE-576 X:springer image/jpeg 20150924142359 Cover https://zbmath.org/?q=an:1005.62007 B:ZBM 2021-04-12 Verlag Zentralblatt MATH Inhaltstext GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP SSG-OLC-PHA SSG-OPC-MAT GBV_ILN_22_i06404 GBV_ILN_24 ISIL_DE-8 GBV_ILN_24_f009 GBV_ILN_40 ISIL_DE-7 GBV_ILN_40_i148 GBV_ILN_40_i027 GBV_ILN_60 ISIL_DE-705 GBV_ILN_62 ISIL_DE-28 GBV_ILN_62_a100 GBV_ILN_65 ISIL_DE-3 GBV_ILN_65_a027 GBV_ILN_65_a004 GBV_ILN_69 ISIL_DE-9 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_120 ISIL_DE-715 GBV_ILN_154 ISIL_DE-Bv2 GBV_ILN_209 ISIL_DE-Pn1 GBV_ILN_224 ISIL_DE-2575 GBV_ILN_259 ISIL_DE-Star1 GBV_ILN_285 ISIL_DE-517 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_754 ISIL_DE-B1532 GBV_ILN_2002 ISIL_DE-21-112 ISIL_DE-21-119 GBV_ILN_2004 ISIL_DE-25-5 GBV_ILN_2006 ISIL_DE-14 GBV_ILN_2007 ISIL_DE-352 GBV_ILN_2015 ISIL_DE-93 GBV_ILN_2018 ISIL_DE-31 GBV_ILN_2021 ISIL_DE-289 GBV_ILN_2026 ISIL_DE-100-320 GBV_ILN_2088 ISIL_DE-Frei3c GBV_ILN_2095 ISIL_DE-Stg113 sf Blocktest SK 950 Mathematische Methoden in den Naturwissenschaften Mathematik Monografien Mathematische Methoden in den Naturwissenschaften (DE-627)1270877593 (DE-625)rvk/143273: (DE-576)200877593 WC 7000 Biometrie, Biomathematik, Biostatistik Biologie Methoden Biometrie, Biomathematik, Biostatistik, Bioinformatik, Biokybernetik Biometrie, Biomathematik, Biostatistik (DE-627)1271493756 (DE-625)rvk/148142: (DE-576)201493756 31.73 Mathematische Statistik (DE-627)106418998 BO 045F 570/.1/51 045F 570.151 22 01 0018 885602080 00 18/64 QH 323.5 Med A 2002/859 u --%%-- 03 --%%-- Med A 2002/859 --%%-- --%%-- zi06404 07-08-08 24 01 0008 55700604X 00 8/009 S 4-1-104 d --%%-- darfid zf009 30-05-02 24 02 0008 581396219 00 10 mat 860 Ay 6246 u --%%-- ra zz1 04-12-02 24 03 0008 61772167X 00 8/009 S 2-4-196 d --%%-- darfid zf009 08-10-03 40 01 7/148 567030482 00 BBWISO 16 : C 2202 Bur i --%%-- ki148 26-08-02 40 02 0007 579887553 00 7/027 05511 i --%%-- zi027 28-11-02 40 03 0007 803060998 00 7/027 06135 i --%%-- zi027 07-12-06 60 01 0705 935936548 00 633 MAT 729:YD0002(002) c --%%-- z 22-07-09 62 01 0028/1 91452996X 00 Wa1 Ab-666 u --%%-- za100 10-12-08 65 01 3/27 557633672 00 Ha 27 M 01.01.00 Burn 22372 u --%%-- za027 27-11-03 65 02 3/4 711336296 00 Ha 4-HA L 2009/669 c --%%-- 08 Ha 4 WC 7000 202<2> --%%-- --%%-- 09 Ha 4 L 2009/669 --%%-- --%%-- za004 08-04-05 69 01 0009 777560240 00 UB 660 660/WC 7000 B966(2) u --%%-- z 31-05-07 110 01 3110 799173150 00 CAM Nat 3026.012 u --%%-- kz 11-01-07 120 01 0715 791812138 00 --%%-- bio 024 CQ 5300,2 u --%%-- alma z 08-11-06 120 02 0715 812771036 00 4 bio 024 CQ 5300,2 g --%%-- alma z 28-03-07 120 03 0715 910748012 00 427 bio 024 CQ 5300,2 g --%%-- alma z 27-11-08 154 01 3713 595416527 00 BV bio 024 51 f --%%-- zBV 19-03-03 209 01 3570 812646479 00 --%%-- Mod 87 u --%%-- z 09-03-07 224 01 3224 827172214 00 --%%-- A 2.1.2 Burn i --%%-- z 17-07-07 259 01 3259 931974429 00 --%%-- 6.7 Bur 6139@ i --%%-- --%%-- zi 24-04-09 285 01 0517 846864401 00 2352 --%%-- d --%%-- z 20-11-07 370 01 4370 1105899543 00 EG SK 950 002 (2) u --%%-- z 07-12-09 754 01 3754 1225933870 00 --%%-- E 2003/196 u --%%-- n 01-05-10 2002 01 DE-21-112 3087121746 00 Vegetationsökologie / Auf der Morgenstelle 5 Biol C 574 (2. 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2001057677 02,A48,1209 dnb 0387953647 UK 965471810 DE-101 0387953647 alk. paper 0-387-95364-7 9780387953649 : alk. paper 978-0-387-95364-9 9780387953649 12001-57677 Identnummer (DE-627)338903577 (DE-576)10249908X (DE-599)GBV338903577 (OCoLC)264995692 (OCoLC)48557578 (AT-OBV)AC03457070 (ZBM)1005.62007 (ZBM)1005.62007 DE-627 ger DE-627 rakwb eng XD-US QH323.5 QH 323.5 32 sdnb 15 27 32 sdnb SK 950 rvk (DE-625)rvk/143273: WC 7000 rvk (DE-625)rvk/148142: *62B10 msc 62-01 msc 62-02 msc 31.73 bkl a Burnham, Kenneth P. verfasserin aut Model selection and multimodel inference a practical information-theoretic approach Kenneth P. Burnham; David R. Anderson 2. ed. Pp. : EUR 85.55 New York Berlin Heidelberg [u.a.] Springer 2002 XXVI, 488 S. Ill., graph. Darst. 24 cm Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Literaturverz. S. [455] - 484 Frühere Aufl. u.d.T.: Burnham, Kenneth P.: Model selection and inference Archivierung/Langzeitarchivierung gewährleistet PEBW XA-DE-BW pdager DE-31 Archivierung prüfen 20240324 DE-4165 3 pdager Biology Mathematical models Mathematical statistics Statistics Models, Theoretical Biology Mathematics Statistische Methodenlehre Mathematisches Modell Informationstheorie Datenanalyse s.Biologie++s.Statistik s (DE-588)4006851-1 (DE-627)106375911 (DE-576)208867503 Biologie gnd s (DE-588)4114528-8 (DE-627)105821527 (DE-576)209485361 Mathematisches Modell gnd DE-101 Anderson, David Ray 1941- verfasserin (DE-588)122291565 (DE-627)060182342 (DE-576)182138569 aut Anderson, David Raymond 1942- verfasserin (DE-588)122291727 (DE-627)705849791 (DE-576)182851656 aut http://www.loc.gov/catdir/enhancements/fy0816/2001057677-d.html 2014-07-08 Verlag Verlagsangaben http://d-nb.info/965471810/04 B:DE-101 pdf/application 20161127003401 Verlag Inhaltsverzeichnis https://swbplus.bsz-bw.de/bsz10249908xcov.jpg V:DE-576 X:springer image/jpeg 20150924142359 Cover https://zbmath.org/?q=an:1005.62007 B:ZBM 2021-04-12 Verlag Zentralblatt MATH Inhaltstext GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP SSG-OLC-PHA SSG-OPC-MAT GBV_ILN_22_i06404 GBV_ILN_24 ISIL_DE-8 GBV_ILN_24_f009 GBV_ILN_40 ISIL_DE-7 GBV_ILN_40_i148 GBV_ILN_40_i027 GBV_ILN_60 ISIL_DE-705 GBV_ILN_62 ISIL_DE-28 GBV_ILN_62_a100 GBV_ILN_65 ISIL_DE-3 GBV_ILN_65_a027 GBV_ILN_65_a004 GBV_ILN_69 ISIL_DE-9 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_120 ISIL_DE-715 GBV_ILN_154 ISIL_DE-Bv2 GBV_ILN_209 ISIL_DE-Pn1 GBV_ILN_224 ISIL_DE-2575 GBV_ILN_259 ISIL_DE-Star1 GBV_ILN_285 ISIL_DE-517 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_754 ISIL_DE-B1532 GBV_ILN_2002 ISIL_DE-21-112 ISIL_DE-21-119 GBV_ILN_2004 ISIL_DE-25-5 GBV_ILN_2006 ISIL_DE-14 GBV_ILN_2007 ISIL_DE-352 GBV_ILN_2015 ISIL_DE-93 GBV_ILN_2018 ISIL_DE-31 GBV_ILN_2021 ISIL_DE-289 GBV_ILN_2026 ISIL_DE-100-320 GBV_ILN_2088 ISIL_DE-Frei3c GBV_ILN_2095 ISIL_DE-Stg113 sf Blocktest SK 950 Mathematische Methoden in den Naturwissenschaften Mathematik Monografien Mathematische Methoden in den Naturwissenschaften (DE-627)1270877593 (DE-625)rvk/143273: (DE-576)200877593 WC 7000 Biometrie, Biomathematik, Biostatistik Biologie Methoden Biometrie, Biomathematik, Biostatistik, Bioinformatik, Biokybernetik Biometrie, Biomathematik, Biostatistik (DE-627)1271493756 (DE-625)rvk/148142: (DE-576)201493756 31.73 Mathematische Statistik (DE-627)106418998 BO 045F 570/.1/51 045F 570.151 22 01 0018 885602080 00 18/64 QH 323.5 Med A 2002/859 u --%%-- 03 --%%-- Med A 2002/859 --%%-- --%%-- zi06404 07-08-08 24 01 0008 55700604X 00 8/009 S 4-1-104 d --%%-- darfid zf009 30-05-02 24 02 0008 581396219 00 10 mat 860 Ay 6246 u --%%-- ra zz1 04-12-02 24 03 0008 61772167X 00 8/009 S 2-4-196 d --%%-- darfid zf009 08-10-03 40 01 7/148 567030482 00 BBWISO 16 : C 2202 Bur i --%%-- ki148 26-08-02 40 02 0007 579887553 00 7/027 05511 i --%%-- zi027 28-11-02 40 03 0007 803060998 00 7/027 06135 i --%%-- zi027 07-12-06 60 01 0705 935936548 00 633 MAT 729:YD0002(002) c --%%-- z 22-07-09 62 01 0028/1 91452996X 00 Wa1 Ab-666 u --%%-- za100 10-12-08 65 01 3/27 557633672 00 Ha 27 M 01.01.00 Burn 22372 u --%%-- za027 27-11-03 65 02 3/4 711336296 00 Ha 4-HA L 2009/669 c --%%-- 08 Ha 4 WC 7000 202<2> --%%-- --%%-- 09 Ha 4 L 2009/669 --%%-- --%%-- za004 08-04-05 69 01 0009 777560240 00 UB 660 660/WC 7000 B966(2) u --%%-- z 31-05-07 110 01 3110 799173150 00 CAM Nat 3026.012 u --%%-- kz 11-01-07 120 01 0715 791812138 00 --%%-- bio 024 CQ 5300,2 u --%%-- alma z 08-11-06 120 02 0715 812771036 00 4 bio 024 CQ 5300,2 g --%%-- alma z 28-03-07 120 03 0715 910748012 00 427 bio 024 CQ 5300,2 g --%%-- alma z 27-11-08 154 01 3713 595416527 00 BV bio 024 51 f --%%-- zBV 19-03-03 209 01 3570 812646479 00 --%%-- Mod 87 u --%%-- z 09-03-07 224 01 3224 827172214 00 --%%-- A 2.1.2 Burn i --%%-- z 17-07-07 259 01 3259 931974429 00 --%%-- 6.7 Bur 6139@ i --%%-- --%%-- zi 24-04-09 285 01 0517 846864401 00 2352 --%%-- d --%%-- z 20-11-07 370 01 4370 1105899543 00 EG SK 950 002 (2) u --%%-- z 07-12-09 754 01 3754 1225933870 00 --%%-- E 2003/196 u --%%-- n 01-05-10 2002 01 DE-21-112 3087121746 00 Vegetationsökologie / Auf der Morgenstelle 5 Biol C 574 (2. 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allfields_unstemmed |
2001057677 02,A48,1209 dnb 0387953647 UK 965471810 DE-101 0387953647 alk. paper 0-387-95364-7 9780387953649 : alk. paper 978-0-387-95364-9 9780387953649 12001-57677 Identnummer (DE-627)338903577 (DE-576)10249908X (DE-599)GBV338903577 (OCoLC)264995692 (OCoLC)48557578 (AT-OBV)AC03457070 (ZBM)1005.62007 (ZBM)1005.62007 DE-627 ger DE-627 rakwb eng XD-US QH323.5 QH 323.5 32 sdnb 15 27 32 sdnb SK 950 rvk (DE-625)rvk/143273: WC 7000 rvk (DE-625)rvk/148142: *62B10 msc 62-01 msc 62-02 msc 31.73 bkl a Burnham, Kenneth P. verfasserin aut Model selection and multimodel inference a practical information-theoretic approach Kenneth P. Burnham; David R. Anderson 2. ed. Pp. : EUR 85.55 New York Berlin Heidelberg [u.a.] Springer 2002 XXVI, 488 S. Ill., graph. Darst. 24 cm Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Literaturverz. S. [455] - 484 Frühere Aufl. u.d.T.: Burnham, Kenneth P.: Model selection and inference Archivierung/Langzeitarchivierung gewährleistet PEBW XA-DE-BW pdager DE-31 Archivierung prüfen 20240324 DE-4165 3 pdager Biology Mathematical models Mathematical statistics Statistics Models, Theoretical Biology Mathematics Statistische Methodenlehre Mathematisches Modell Informationstheorie Datenanalyse s.Biologie++s.Statistik s (DE-588)4006851-1 (DE-627)106375911 (DE-576)208867503 Biologie gnd s (DE-588)4114528-8 (DE-627)105821527 (DE-576)209485361 Mathematisches Modell gnd DE-101 Anderson, David Ray 1941- verfasserin (DE-588)122291565 (DE-627)060182342 (DE-576)182138569 aut Anderson, David Raymond 1942- verfasserin (DE-588)122291727 (DE-627)705849791 (DE-576)182851656 aut http://www.loc.gov/catdir/enhancements/fy0816/2001057677-d.html 2014-07-08 Verlag Verlagsangaben http://d-nb.info/965471810/04 B:DE-101 pdf/application 20161127003401 Verlag Inhaltsverzeichnis https://swbplus.bsz-bw.de/bsz10249908xcov.jpg V:DE-576 X:springer image/jpeg 20150924142359 Cover https://zbmath.org/?q=an:1005.62007 B:ZBM 2021-04-12 Verlag Zentralblatt MATH Inhaltstext GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP SSG-OLC-PHA SSG-OPC-MAT GBV_ILN_22_i06404 GBV_ILN_24 ISIL_DE-8 GBV_ILN_24_f009 GBV_ILN_40 ISIL_DE-7 GBV_ILN_40_i148 GBV_ILN_40_i027 GBV_ILN_60 ISIL_DE-705 GBV_ILN_62 ISIL_DE-28 GBV_ILN_62_a100 GBV_ILN_65 ISIL_DE-3 GBV_ILN_65_a027 GBV_ILN_65_a004 GBV_ILN_69 ISIL_DE-9 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_120 ISIL_DE-715 GBV_ILN_154 ISIL_DE-Bv2 GBV_ILN_209 ISIL_DE-Pn1 GBV_ILN_224 ISIL_DE-2575 GBV_ILN_259 ISIL_DE-Star1 GBV_ILN_285 ISIL_DE-517 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_754 ISIL_DE-B1532 GBV_ILN_2002 ISIL_DE-21-112 ISIL_DE-21-119 GBV_ILN_2004 ISIL_DE-25-5 GBV_ILN_2006 ISIL_DE-14 GBV_ILN_2007 ISIL_DE-352 GBV_ILN_2015 ISIL_DE-93 GBV_ILN_2018 ISIL_DE-31 GBV_ILN_2021 ISIL_DE-289 GBV_ILN_2026 ISIL_DE-100-320 GBV_ILN_2088 ISIL_DE-Frei3c GBV_ILN_2095 ISIL_DE-Stg113 sf Blocktest SK 950 Mathematische Methoden in den Naturwissenschaften Mathematik Monografien Mathematische Methoden in den Naturwissenschaften (DE-627)1270877593 (DE-625)rvk/143273: (DE-576)200877593 WC 7000 Biometrie, Biomathematik, Biostatistik Biologie Methoden Biometrie, Biomathematik, Biostatistik, Bioinformatik, Biokybernetik Biometrie, Biomathematik, Biostatistik (DE-627)1271493756 (DE-625)rvk/148142: (DE-576)201493756 31.73 Mathematische Statistik (DE-627)106418998 BO 045F 570/.1/51 045F 570.151 22 01 0018 885602080 00 18/64 QH 323.5 Med A 2002/859 u --%%-- 03 --%%-- Med A 2002/859 --%%-- --%%-- zi06404 07-08-08 24 01 0008 55700604X 00 8/009 S 4-1-104 d --%%-- darfid zf009 30-05-02 24 02 0008 581396219 00 10 mat 860 Ay 6246 u --%%-- ra zz1 04-12-02 24 03 0008 61772167X 00 8/009 S 2-4-196 d --%%-- darfid zf009 08-10-03 40 01 7/148 567030482 00 BBWISO 16 : C 2202 Bur i --%%-- ki148 26-08-02 40 02 0007 579887553 00 7/027 05511 i --%%-- zi027 28-11-02 40 03 0007 803060998 00 7/027 06135 i --%%-- zi027 07-12-06 60 01 0705 935936548 00 633 MAT 729:YD0002(002) c --%%-- z 22-07-09 62 01 0028/1 91452996X 00 Wa1 Ab-666 u --%%-- za100 10-12-08 65 01 3/27 557633672 00 Ha 27 M 01.01.00 Burn 22372 u --%%-- za027 27-11-03 65 02 3/4 711336296 00 Ha 4-HA L 2009/669 c --%%-- 08 Ha 4 WC 7000 202<2> --%%-- --%%-- 09 Ha 4 L 2009/669 --%%-- --%%-- za004 08-04-05 69 01 0009 777560240 00 UB 660 660/WC 7000 B966(2) u --%%-- z 31-05-07 110 01 3110 799173150 00 CAM Nat 3026.012 u --%%-- kz 11-01-07 120 01 0715 791812138 00 --%%-- bio 024 CQ 5300,2 u --%%-- alma z 08-11-06 120 02 0715 812771036 00 4 bio 024 CQ 5300,2 g --%%-- alma z 28-03-07 120 03 0715 910748012 00 427 bio 024 CQ 5300,2 g --%%-- alma z 27-11-08 154 01 3713 595416527 00 BV bio 024 51 f --%%-- zBV 19-03-03 209 01 3570 812646479 00 --%%-- Mod 87 u --%%-- z 09-03-07 224 01 3224 827172214 00 --%%-- A 2.1.2 Burn i --%%-- z 17-07-07 259 01 3259 931974429 00 --%%-- 6.7 Bur 6139@ i --%%-- --%%-- zi 24-04-09 285 01 0517 846864401 00 2352 --%%-- d --%%-- z 20-11-07 370 01 4370 1105899543 00 EG SK 950 002 (2) u --%%-- z 07-12-09 754 01 3754 1225933870 00 --%%-- E 2003/196 u --%%-- n 01-05-10 2002 01 DE-21-112 3087121746 00 Vegetationsökologie / Auf der Morgenstelle 5 Biol C 574 (2. 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2001057677 02,A48,1209 dnb 0387953647 UK 965471810 DE-101 0387953647 alk. paper 0-387-95364-7 9780387953649 : alk. paper 978-0-387-95364-9 9780387953649 12001-57677 Identnummer (DE-627)338903577 (DE-576)10249908X (DE-599)GBV338903577 (OCoLC)264995692 (OCoLC)48557578 (AT-OBV)AC03457070 (ZBM)1005.62007 (ZBM)1005.62007 DE-627 ger DE-627 rakwb eng XD-US QH323.5 QH 323.5 32 sdnb 15 27 32 sdnb SK 950 rvk (DE-625)rvk/143273: WC 7000 rvk (DE-625)rvk/148142: *62B10 msc 62-01 msc 62-02 msc 31.73 bkl a Burnham, Kenneth P. verfasserin aut Model selection and multimodel inference a practical information-theoretic approach Kenneth P. Burnham; David R. Anderson 2. ed. Pp. : EUR 85.55 New York Berlin Heidelberg [u.a.] Springer 2002 XXVI, 488 S. Ill., graph. Darst. 24 cm Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Literaturverz. S. [455] - 484 Frühere Aufl. u.d.T.: Burnham, Kenneth P.: Model selection and inference Archivierung/Langzeitarchivierung gewährleistet PEBW XA-DE-BW pdager DE-31 Archivierung prüfen 20240324 DE-4165 3 pdager Biology Mathematical models Mathematical statistics Statistics Models, Theoretical Biology Mathematics Statistische Methodenlehre Mathematisches Modell Informationstheorie Datenanalyse s.Biologie++s.Statistik s (DE-588)4006851-1 (DE-627)106375911 (DE-576)208867503 Biologie gnd s (DE-588)4114528-8 (DE-627)105821527 (DE-576)209485361 Mathematisches Modell gnd DE-101 Anderson, David Ray 1941- verfasserin (DE-588)122291565 (DE-627)060182342 (DE-576)182138569 aut Anderson, David Raymond 1942- verfasserin (DE-588)122291727 (DE-627)705849791 (DE-576)182851656 aut http://www.loc.gov/catdir/enhancements/fy0816/2001057677-d.html 2014-07-08 Verlag Verlagsangaben http://d-nb.info/965471810/04 B:DE-101 pdf/application 20161127003401 Verlag Inhaltsverzeichnis https://swbplus.bsz-bw.de/bsz10249908xcov.jpg V:DE-576 X:springer image/jpeg 20150924142359 Cover https://zbmath.org/?q=an:1005.62007 B:ZBM 2021-04-12 Verlag Zentralblatt MATH Inhaltstext GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP SSG-OLC-PHA SSG-OPC-MAT GBV_ILN_22_i06404 GBV_ILN_24 ISIL_DE-8 GBV_ILN_24_f009 GBV_ILN_40 ISIL_DE-7 GBV_ILN_40_i148 GBV_ILN_40_i027 GBV_ILN_60 ISIL_DE-705 GBV_ILN_62 ISIL_DE-28 GBV_ILN_62_a100 GBV_ILN_65 ISIL_DE-3 GBV_ILN_65_a027 GBV_ILN_65_a004 GBV_ILN_69 ISIL_DE-9 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_120 ISIL_DE-715 GBV_ILN_154 ISIL_DE-Bv2 GBV_ILN_209 ISIL_DE-Pn1 GBV_ILN_224 ISIL_DE-2575 GBV_ILN_259 ISIL_DE-Star1 GBV_ILN_285 ISIL_DE-517 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_754 ISIL_DE-B1532 GBV_ILN_2002 ISIL_DE-21-112 ISIL_DE-21-119 GBV_ILN_2004 ISIL_DE-25-5 GBV_ILN_2006 ISIL_DE-14 GBV_ILN_2007 ISIL_DE-352 GBV_ILN_2015 ISIL_DE-93 GBV_ILN_2018 ISIL_DE-31 GBV_ILN_2021 ISIL_DE-289 GBV_ILN_2026 ISIL_DE-100-320 GBV_ILN_2088 ISIL_DE-Frei3c GBV_ILN_2095 ISIL_DE-Stg113 sf Blocktest SK 950 Mathematische Methoden in den Naturwissenschaften Mathematik Monografien Mathematische Methoden in den Naturwissenschaften (DE-627)1270877593 (DE-625)rvk/143273: (DE-576)200877593 WC 7000 Biometrie, Biomathematik, Biostatistik Biologie Methoden Biometrie, Biomathematik, Biostatistik, Bioinformatik, Biokybernetik Biometrie, Biomathematik, Biostatistik (DE-627)1271493756 (DE-625)rvk/148142: (DE-576)201493756 31.73 Mathematische Statistik (DE-627)106418998 BO 045F 570/.1/51 045F 570.151 22 01 0018 885602080 00 18/64 QH 323.5 Med A 2002/859 u --%%-- 03 --%%-- Med A 2002/859 --%%-- --%%-- zi06404 07-08-08 24 01 0008 55700604X 00 8/009 S 4-1-104 d --%%-- darfid zf009 30-05-02 24 02 0008 581396219 00 10 mat 860 Ay 6246 u --%%-- ra zz1 04-12-02 24 03 0008 61772167X 00 8/009 S 2-4-196 d --%%-- darfid zf009 08-10-03 40 01 7/148 567030482 00 BBWISO 16 : C 2202 Bur i --%%-- ki148 26-08-02 40 02 0007 579887553 00 7/027 05511 i --%%-- zi027 28-11-02 40 03 0007 803060998 00 7/027 06135 i --%%-- zi027 07-12-06 60 01 0705 935936548 00 633 MAT 729:YD0002(002) c --%%-- z 22-07-09 62 01 0028/1 91452996X 00 Wa1 Ab-666 u --%%-- za100 10-12-08 65 01 3/27 557633672 00 Ha 27 M 01.01.00 Burn 22372 u --%%-- za027 27-11-03 65 02 3/4 711336296 00 Ha 4-HA L 2009/669 c --%%-- 08 Ha 4 WC 7000 202<2> --%%-- --%%-- 09 Ha 4 L 2009/669 --%%-- --%%-- za004 08-04-05 69 01 0009 777560240 00 UB 660 660/WC 7000 B966(2) u --%%-- z 31-05-07 110 01 3110 799173150 00 CAM Nat 3026.012 u --%%-- kz 11-01-07 120 01 0715 791812138 00 --%%-- bio 024 CQ 5300,2 u --%%-- alma z 08-11-06 120 02 0715 812771036 00 4 bio 024 CQ 5300,2 g --%%-- alma z 28-03-07 120 03 0715 910748012 00 427 bio 024 CQ 5300,2 g --%%-- alma z 27-11-08 154 01 3713 595416527 00 BV bio 024 51 f --%%-- zBV 19-03-03 209 01 3570 812646479 00 --%%-- Mod 87 u --%%-- z 09-03-07 224 01 3224 827172214 00 --%%-- A 2.1.2 Burn i --%%-- z 17-07-07 259 01 3259 931974429 00 --%%-- 6.7 Bur 6139@ i --%%-- --%%-- zi 24-04-09 285 01 0517 846864401 00 2352 --%%-- d --%%-- z 20-11-07 370 01 4370 1105899543 00 EG SK 950 002 (2) u --%%-- z 07-12-09 754 01 3754 1225933870 00 --%%-- E 2003/196 u --%%-- n 01-05-10 2002 01 DE-21-112 3087121746 00 Vegetationsökologie / Auf der Morgenstelle 5 Biol C 574 (2. 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Contents Preface vii About the Authors xxi Glossary … Introduction … Objectives of the Book … Background Material … Inference from Data, Given a Model … Likelihood and Least Squares Theory … The Critical Issue: "What Is the Best Model to User … Science Inputs: Formulation of the Set of Candidate Models … Models Versus Full Reality … An Ideal Approximating Model … Model Fundamentals and Notation … Truth or Full Reality/ … Approximating Models g¡(x\9) … The Kullback-Leibler Best Model g,(x\d0) … Estimated Models g¡(x\6) … Generating Models … Global Model xxiii … xiv Contents … Overview of Stochastic Models in the Biological Sciences Inference and the Principle of Parsimony … Avoid Overfitting to Achieve a Good Model Fit … The Principle of Parsimony … Model Selection Methods Data Dredging, Overanalysis of Data, and Spurious Effects … Overanalysis of Data … Some Trends Model Selection Bias Model Selection Uncertainty Summary … Information and Likelihood Theory: A Basis for Model Selection and Inference … Kullback-Leibler Information or Distance Between Two Models … Examples of Kullback-Leibler Distance … Truth,/, Drops Out as a Constant … Akaike's Information Criterion: 1973 … Takeuchi's Information Criterion: 1976 … Second-Order Information Criterion: 1978 … Modification of Information Criterion for Overdispersed Count Data … AIC Differences, A, … A Useful Analogy … Likelihood of a Model, C(g¡\data) … Akaike Weights, w¡ … Basic Formula … An Extension … Evidence Ratios … Important Analysis Details … AIC Cannot Be Used to Compare Models of Different Data Sets … Order Not Important in Computing AIC Values … Transformations of the Response Variable … Regression Models with Differing Error Structures … Do Not Mix Null Hypothesis Testing with Information-Theoretic Criteria … Null Hypothesis Testing Is Still Important in Strict Experiments … Information-Theoretic Criteria Are Not a'Test" … Exploratory Data Analysis … Contents … Some History and Further Insights … Entropy … A Heuristic Interpretation … More on Interpreting InformationTheoretic Criteria … Nonnested Models … Further Insights … Bootstrap Methods and Model Selection Frequencies n¡ … Introduction … The Bootstrap in Model Selection: The Basic Idea … Return to Flather's Models … Summary Basic Use of the Information-Theoretic Approach … Introduction … Example … Cement Hardening Data … Set of Candidate Models … Some Results and Comparisons … A Summary … Example … Time Distribution of an Insecticide Added to a Simulated Ecosystem … Set of Candidate Models … Some Results … Example … Nestling Starlings … Experimental Scenario … Monte Carlo Data … Set of Candidate Models … Data Analysis Results … Further Insights into the First Fourteen NestedModels … Hypothesis Testing and Information-Theoretic Approaches Have Different Selection Frequencies … Further Insights Following Final Model Selection … Why Not Always Use the Global Model for Inference? … Example … Sage Grouse Survival … Introduction … Set of Candidate Models … Model Selection … Hypothesis Tests for Year-Dependent Survival Probabilities xv … Ill … xvi Contents … Hypothesis Testing Versus AIC in Model Selection … A Class of Intermediate Models Example … Resource Utilization of Anolis Lizards … Set of Candidate Models … Comments on Analytic Method … Some Tentative Results Example … Sakamoto et al.'s (1986) Simulated Data … Example … Models of Fish Growth Summary … Formal Inference From More Than One Model: Multimodel Inference (MMI) … Introduction to Multimodel Inference … Model Averaging … Prediction … Averaging Across Model Parameters … Model Selection Uncertainty … Concepts of Parameter Estimation and Model Selection Uncertainty … Including Model Selection Uncertainty in Estimator Sampling Variance … Unconditional Confidence Intervals … Estimating the Relative Importance of Variables … Confidence Set for the K-L Best Model … Introduction … Model Selection Probabilities, and the Bootstrap … Model Redundancy … Recommendations … Cement Data … PineWoodData … The Durban Storm Data … Models Considered … Consideration of Model Fit … Confidence Intervals on Predicted Storm Probability … Comparisons of Estimator Precision … Flour Beetle Mortality: A Logistic Regression Example … Publication of Research Results … Summary … Monte Carlo Insights and Extended Examples … Introduction … Survival Models … Contents … A Chain Binomial Survival Model An Example An Extended Survival Model Model Selection if Sample Size Is Huge, or Truth Known … A Further Chain Binomial Model Examples and Ideas Illustrated with Linear Regression … All-Subsets Selection: A GPA Example … A Monte Carlo Extension of the GPA Example … An Improved Set of GPA Prediction Models … More Monte Carlo Results … Linear Regression and Variable Selection … Discussion Estimation of Density from Line Transect Sampling … Density Estimation Background … Line Transect Sampling of Kangaroos at Wallaby Creek … Analysis of Wallaby Creek Data … Bootstrap Analysis … Confidence Interval on D … Bootstrap Samples: … Versus … Bootstrap Versus Akaike Weights: A Lesson onQAIQ Summary Advanced Issues and Deeper Insights … Introduction … An Example with … Predictor Variables and … Models … Body Fat Data … The Global Model … Classical Stepwise Selection … Model Selection Uncertainty for AICC and BIC … An A Priori Approach … Bootstrap Evaluation of Model Uncertainty … Monte Carlo Simulations … Summary Messages … Overview of Model Selection Criteria … Criteria That Are Estimates of K-L Information … Criteria That Are Consistent for K … Contrasts … Consistent Selection in Practice: Quasi-true Models … Contrasting AIC and BIC … A Heuristic Derivation of BIC xvii … xviii Contents … A K-L-Based Conceptual Comparison of AIC and BIC … Performance Comparison … Exact Bayesian Model Selection Formulas … Akaike Weights as Bayesian Posterior Model Probabilities Goodness-of-Fit and Overdispersion Revisited … Overdispersion c and Goodness-of-Fit: A General Strategy … Overdispersion Modeling: More Than One c … Model Goodness-of-Fit After Selection AIC and Random Coefficient Models … Basic Concepts and Marginal Likelihood Approach … A Shrinkage Approach to AIC and Random Effects … On Extensions Selection When Probability Distributions Differ by Model … Keep All the Parts … A Normal Versus Log-Normal Example … Comparing Across Several Distributions: An Example Lessons from the Literature and Other Matters … Use AICC, Not AIC, with Small Sample Sizes … Use AICC) Not AIC, When K Is Large … When Is A I Q Suitable: A Gamma Distribution Example … Inference from a Less Than Best Model … Are Parameters Real? … Sample Size Is Often Not a Simple Issue … Judgment Has a Role Tidbits About AIC … Irrelevance of Between-Sample Variation of AIC … The G-Statistic and K-L Information … AIC Versus Hypothesis Testing: Results Can Be Very Different … A Subtle Model Selection Bias Issue … The Dimensional Unit of AIC … AIC and Finite Mixture Models … Unconditional Variance … A Baseline for u)+(i) Summary … Contents … xix Statistical Theory and Numerical Results … Useful Preliminaries … A General Derivation of AIC … General K-L-Based Model Selection: TIC … Analytical Computation of TIC … Bootstrap Estimation of TIC … AIC f : A Second-Order Improvement … Derivation of AICC … Lack of Uniqueness of AICC … Derivation of AIC for the Exponential Family of Distributions … Evaluation o f t r i / i ö o M / ^ … " … and Its Estimator … Comparison of AIC Versus TIC in a Very Simple Setting … Evaluation Under Logistic Regression … Evaluation Under Multinomially Distributed Count Data … Evaluation Under Poisson-Distributed Data … Evaluation for Fixed-Effects Normality-Based Linear Models … Additional Results and Considerations … Selection Simulation for Nested Models … Simulation ofthe Distribution of Ap … Does AIC Overfit? … Can Selection Be Improved Based on All the A,? … Linear Regression, AIC, and Mean Square Error … AICC and Models for Multivariate Data … There Is No True TICC … Kullback-Leibler Information Relationship to the Fisher Information Matrix … Entropy and Jaynes Maxent Principle … Akaike Weights w¡ Versus Selection Probabilities n¡ … Kullback-Leibler Information Is Always > … Summary … Summary … The Scientific Question and the Collection of Data … Actual Thinking and A Priori Modeling … The Basis for Objective Model Selection … The Principle of Parsimony … Information Criteria as Estimates of Expected Relative Kullback-Leibler Information … Ranking Alternative Models … xx Contents … Scaling Alternative Models MMI: Inference Based on Model Averaging MMI: Model Selection Uncertainty MMI: Relative Importance of Predictor Variables More on Inferences Final Thoughts … References … Index … Publisher description for Library of Congress control number 2001057677 Publisher description for Model selection and multimodel inference : a practical information-theoretic approach / Kenneth P. Burnham, David R. Anderson. Bibliographic record and links to related information available from the Library of Congress catalog Information from electronic data provided by the publisher. May be incomplete or contain other coding. The second edition of this book is unique in that it focuses on methods for making formal statistical inference from all the models in an a priori set (Multi-Model Inference). A philosophy is presented for model-based data analysis and a general strategy outlined for the analysis of empirical data. The book invites increased attention on a priori science hypotheses and modeling. Kullback-Leibler Information represents a fundamental quantity in science and is Hirotugu Akaike's basis for model selection. The maximized log-likelihood function can be bias-corrected as an estimator of expected, relative Kullback-Leibler information. This leads to Akaike's Information Criterion (AIC) and various extensions. These methods are relatively simple and easy to use in practice, but based on deep statistical theory. The information theoretic approaches provide a unified and rigorous theory, an extension of likelihood theory, an important application of information theory, and are objective and practical to employ across a very wide class of empirical problems. The book presents several new ways to incorporate model selection uncertainty into parameter estimates and estimates of precision. An array of challenging examples is given to illustrate various technical issues. This is an applied book written primarily for biologists and statisticians wanting to make inferences from multiple models and is suitable as a graduate text or as a reference for professional analysts. Library of Congress subject headings for this publication: Biology … Mathematical models. Mathematical statistics. |
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code="x">0008</subfield><subfield code="b">61772167X</subfield><subfield code="c">00</subfield><subfield code="f">8/009</subfield><subfield code="d">S 2-4-196</subfield><subfield code="e">d</subfield><subfield code="j">--%%--</subfield><subfield code="h">darfid</subfield><subfield code="y">zf009</subfield><subfield code="z">08-10-03</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">40</subfield><subfield code="1">01</subfield><subfield code="x">7/148</subfield><subfield code="b">567030482</subfield><subfield code="c">00</subfield><subfield code="f">BBWISO</subfield><subfield code="d">16 : C 2202 Bur</subfield><subfield code="e">i</subfield><subfield code="j">--%%--</subfield><subfield code="y">ki148</subfield><subfield code="z">26-08-02</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">40</subfield><subfield code="1">02</subfield><subfield code="x">0007</subfield><subfield code="b">579887553</subfield><subfield code="c">00</subfield><subfield code="f">7/027</subfield><subfield code="d">05511</subfield><subfield code="e">i</subfield><subfield code="j">--%%--</subfield><subfield code="y">zi027</subfield><subfield code="z">28-11-02</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">40</subfield><subfield code="1">03</subfield><subfield code="x">0007</subfield><subfield code="b">803060998</subfield><subfield code="c">00</subfield><subfield code="f">7/027</subfield><subfield code="d">06135</subfield><subfield code="e">i</subfield><subfield code="j">--%%--</subfield><subfield code="y">zi027</subfield><subfield code="z">07-12-06</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">60</subfield><subfield code="1">01</subfield><subfield code="x">0705</subfield><subfield code="b">935936548</subfield><subfield code="c">00</subfield><subfield code="f">633</subfield><subfield code="d">MAT 729:YD0002(002)</subfield><subfield code="e">c</subfield><subfield code="j">--%%--</subfield><subfield code="y">z</subfield><subfield code="z">22-07-09</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">62</subfield><subfield code="1">01</subfield><subfield code="x">0028/1</subfield><subfield code="b">91452996X</subfield><subfield code="c">00</subfield><subfield code="f">Wa1</subfield><subfield code="d">Ab-666</subfield><subfield code="e">u</subfield><subfield code="j">--%%--</subfield><subfield code="y">za100</subfield><subfield code="z">10-12-08</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">65</subfield><subfield code="1">01</subfield><subfield code="x">3/27</subfield><subfield code="b">557633672</subfield><subfield code="c">00</subfield><subfield code="f">Ha 27</subfield><subfield code="d">M 01.01.00 Burn 22372</subfield><subfield code="e">u</subfield><subfield code="j">--%%--</subfield><subfield code="y">za027</subfield><subfield code="z">27-11-03</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">65</subfield><subfield code="1">02</subfield><subfield code="x">3/4</subfield><subfield code="b">711336296</subfield><subfield code="c">00</subfield><subfield code="f">Ha 4-HA</subfield><subfield code="d">L 2009/669</subfield><subfield code="e">c</subfield><subfield code="j">--%%--</subfield><subfield code="c">08</subfield><subfield code="f">Ha 4</subfield><subfield code="d">WC 7000 202<2></subfield><subfield code="e">--%%--</subfield><subfield code="j">--%%--</subfield><subfield code="c">09</subfield><subfield code="f">Ha 4</subfield><subfield code="d">L 2009/669</subfield><subfield code="e">--%%--</subfield><subfield code="j">--%%--</subfield><subfield code="y">za004</subfield><subfield code="z">08-04-05</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">69</subfield><subfield code="1">01</subfield><subfield code="x">0009</subfield><subfield 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CQ 5300,2</subfield><subfield code="e">u</subfield><subfield code="j">--%%--</subfield><subfield code="h">alma</subfield><subfield code="y">z</subfield><subfield code="z">08-11-06</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">120</subfield><subfield code="1">02</subfield><subfield code="x">0715</subfield><subfield code="b">812771036</subfield><subfield code="c">00</subfield><subfield code="f">4</subfield><subfield code="d">bio 024 CQ 5300,2</subfield><subfield code="e">g</subfield><subfield code="j">--%%--</subfield><subfield code="h">alma</subfield><subfield code="y">z</subfield><subfield code="z">28-03-07</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">120</subfield><subfield code="1">03</subfield><subfield code="x">0715</subfield><subfield code="b">910748012</subfield><subfield code="c">00</subfield><subfield code="f">427</subfield><subfield code="d">bio 024 CQ 5300,2</subfield><subfield code="e">g</subfield><subfield code="j">--%%--</subfield><subfield code="h">alma</subfield><subfield code="y">z</subfield><subfield code="z">27-11-08</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">154</subfield><subfield code="1">01</subfield><subfield code="x">3713</subfield><subfield code="b">595416527</subfield><subfield code="c">00</subfield><subfield code="f">BV</subfield><subfield code="d">bio 024 51</subfield><subfield code="e">f</subfield><subfield code="j">--%%--</subfield><subfield code="y">zBV</subfield><subfield code="z">19-03-03</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">209</subfield><subfield code="1">01</subfield><subfield code="x">3570</subfield><subfield code="b">812646479</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">Mod 87</subfield><subfield code="e">u</subfield><subfield code="j">--%%--</subfield><subfield code="y">z</subfield><subfield code="z">09-03-07</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">224</subfield><subfield code="1">01</subfield><subfield code="x">3224</subfield><subfield code="b">827172214</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">A 2.1.2 Burn</subfield><subfield code="e">i</subfield><subfield code="j">--%%--</subfield><subfield code="y">z</subfield><subfield code="z">17-07-07</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">259</subfield><subfield code="1">01</subfield><subfield code="x">3259</subfield><subfield code="b">931974429</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">6.7 Bur 6139@ i</subfield><subfield code="e">--%%--</subfield><subfield code="j">--%%--</subfield><subfield code="y">zi</subfield><subfield code="z">24-04-09</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">285</subfield><subfield code="1">01</subfield><subfield code="x">0517</subfield><subfield code="b">846864401</subfield><subfield code="c">00</subfield><subfield code="f">2352</subfield><subfield code="d">--%%--</subfield><subfield code="e">d</subfield><subfield code="j">--%%--</subfield><subfield code="y">z</subfield><subfield code="z">20-11-07</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">370</subfield><subfield code="1">01</subfield><subfield code="x">4370</subfield><subfield code="b">1105899543</subfield><subfield code="c">00</subfield><subfield code="f">EG</subfield><subfield code="d">SK 950 002 (2)</subfield><subfield code="e">u</subfield><subfield code="j">--%%--</subfield><subfield code="y">z</subfield><subfield code="z">07-12-09</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">754</subfield><subfield code="1">01</subfield><subfield code="x">3754</subfield><subfield code="b">1225933870</subfield><subfield code="c">00</subfield><subfield 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Auflage)</subfield><subfield code="e">p</subfield><subfield code="j">--%%--</subfield><subfield code="y">l01</subfield><subfield code="z">22-02-07</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2002</subfield><subfield code="1">02</subfield><subfield code="x">DE-21-112</subfield><subfield code="b">3087121754</subfield><subfield code="c">00</subfield><subfield code="f">Vegetationsökologie / Auf der Morgenstelle 5</subfield><subfield code="d">Biol C 574 (2. Auflage)</subfield><subfield code="e">p</subfield><subfield code="j">--%%--</subfield><subfield code="y">l02</subfield><subfield code="z">29-05-07</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2002</subfield><subfield code="1">03</subfield><subfield code="x">DE-21-119</subfield><subfield code="b">3087121762</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">G.3</subfield><subfield code="e">p</subfield><subfield code="j">--%%--</subfield><subfield code="y">l01</subfield><subfield code="z">10-07-09</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2004</subfield><subfield code="1">02</subfield><subfield code="x">DE-25-5</subfield><subfield code="b">3087121886</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">Frei 5: Biom 340/Bur</subfield><subfield code="e">p</subfield><subfield code="j">--%%--</subfield><subfield code="k">Standort: Professur für Biometrie u. 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