Mixed effects models and extensions in ecology with R:
"In this book the authors provide an expanded introduction to using regression and its extensions in analysing ecological data. The first part of the book is a largely non-mathematical introduction to linear mixed effects modelling, GLM and GAM, zero inflated models, GEE, GLMM and GAMM. The sec...
Saved in:
Format: | Book |
---|---|
Language: | English |
Published: |
New York, NY
Springer
2009
|
Series: | Statistics for biology and health
|
Subjects: | |
Online Access: | Cover Kapitel 2 Vorwort 1 Inhaltsverzeichnis |
Summary: | "In this book the authors provide an expanded introduction to using regression and its extensions in analysing ecological data. The first part of the book is a largely non-mathematical introduction to linear mixed effects modelling, GLM and GAM, zero inflated models, GEE, GLMM and GAMM. The second part provides ten case studies that range from koalas to deep sea research. These chapters provide an invaluable insight into analysing complex ecological datasets, including comparisons of different approaches to the same problem. By matching ecological questions and data structure to a case study, these chapters provide an excellent starting point to analysing the reader's own data." --NHBS Environment Bookstore. |
Physical Description: | XXII, 574 S. graph. Darst. |
ISBN: | 9780387874579 9781441927644 |
Staff View
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id | DE-604.BV035546050 |
illustrated | Illustrated |
indexdate | 2025-04-30T16:00:20Z |
institution | BVB |
isbn | 9780387874579 9781441927644 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-017602029 |
oclc_num | 288985460 |
open_access_boolean | |
owner | DE-703 DE-20 DE-19 DE-BY-UBM DE-M49 DE-BY-TUM DE-11 DE-Grf2 DE-188 DE-91G DE-BY-TUM DE-83 DE-29 DE-355 DE-BY-UBR DE-29T DE-Eb1 DE-634 |
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physical | XXII, 574 S. graph. Darst. |
publishDate | 2009 |
publishDateSearch | 2009 |
publishDateSort | 2009 |
publisher | Springer |
record_format | marc |
series2 | Statistics for biology and health |
spelling | Mixed effects models and extensions in ecology with R Alain F. Zuur ... New York, NY Springer 2009 XXII, 574 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Statistics for biology and health "In this book the authors provide an expanded introduction to using regression and its extensions in analysing ecological data. The first part of the book is a largely non-mathematical introduction to linear mixed effects modelling, GLM and GAM, zero inflated models, GEE, GLMM and GAMM. The second part provides ten case studies that range from koalas to deep sea research. These chapters provide an invaluable insight into analysing complex ecological datasets, including comparisons of different approaches to the same problem. By matching ecological questions and data structure to a case study, these chapters provide an excellent starting point to analysing the reader's own data." --NHBS Environment Bookstore. Ökologie Ecology Statistical methods R (Computer program language) Ökologie (DE-588)4043207-5 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Statistisches Modell (DE-588)4121722-6 gnd rswk-swf Ökologie (DE-588)4043207-5 s Datenanalyse (DE-588)4123037-1 s Statistisches Modell (DE-588)4121722-6 s R Programm (DE-588)4705956-4 s b DE-604 Zuur, Alain F. Sonstige (DE-588)1068021438 oth Erscheint auch als Online-Ausgabe 978-0-387-87458-6 (DE-604)BV045199298 DE-576;springer image/jpeg http://swbplus.bsz-bw.de/bsz305834320cov.htm 20090603063105 Cover DE-576;springer application/pdf http://swbplus.bsz-bw.de/bsz305834320kap.htm 20090623101922 Kapitel 2 DE-576;springer application/pdf http://swbplus.bsz-bw.de/bsz305834320vor.htm 20090623100140 Vorwort 1 Digitalisierung UB Bayreuth https://bvbr.bib-bvb.de:443/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017602029&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Mixed effects models and extensions in ecology with R Ökologie Ecology Statistical methods R (Computer program language) Ökologie (DE-588)4043207-5 gnd R Programm (DE-588)4705956-4 gnd Datenanalyse (DE-588)4123037-1 gnd Statistisches Modell (DE-588)4121722-6 gnd |
subject_GND | (DE-588)4043207-5 (DE-588)4705956-4 (DE-588)4123037-1 (DE-588)4121722-6 |
title | Mixed effects models and extensions in ecology with R |
title_auth | Mixed effects models and extensions in ecology with R |
title_exact_search | Mixed effects models and extensions in ecology with R |
title_full | Mixed effects models and extensions in ecology with R Alain F. Zuur ... |
title_fullStr | Mixed effects models and extensions in ecology with R Alain F. Zuur ... |
title_full_unstemmed | Mixed effects models and extensions in ecology with R Alain F. Zuur ... |
title_short | Mixed effects models and extensions in ecology with R |
title_sort | mixed effects models and extensions in ecology with r |
topic | Ökologie Ecology Statistical methods R (Computer program language) Ökologie (DE-588)4043207-5 gnd R Programm (DE-588)4705956-4 gnd Datenanalyse (DE-588)4123037-1 gnd Statistisches Modell (DE-588)4121722-6 gnd |
topic_facet | Ökologie Ecology Statistical methods R (Computer program language) R Programm Datenanalyse Statistisches Modell |
url | http://swbplus.bsz-bw.de/bsz305834320cov.htm http://swbplus.bsz-bw.de/bsz305834320kap.htm http://swbplus.bsz-bw.de/bsz305834320vor.htm https://bvbr.bib-bvb.de:443/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017602029&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT zuuralainf mixedeffectsmodelsandextensionsinecologywithr |