| Description |
1 online resource (xxii, 574 pages) : illustrations |
| Series |
Statistics for biology and health, 1431-8776 |
|
Statistics for biology and health. 1431-8776
|
| Contents |
Limitations of linear regression applied on ecological data -- Things are not always linear : additive modeling -- Dealing with heterogeneity -- Mixed effects modeling for nested data -- Violation of independence. Part 1 -- Violation of independence. Part 2 -- Meet the exponential family -- GLM and GAM for count data -- GLM and GAM for absence-presence and proportional data -- Zero-truncated and zero-inflated models for count data -- Generalised estimation equations -- GLMM and GAMM -- Estimating trends for Antarctic birds in relation to climate change / A.F. Zuur [and others] -- Large scale impacts of land-use change in a Scottish farming catchment / A.F. Zuur [and others] -- Negative binomial GAM and GAMM to analyse amphibian roadkills / A.F. Zuur [and others] -- Additive mixed modelling applied on deep-sea pelagic bioluminescent organisms / A.F. Zuur [and others] -- Additive mixed modelling applied on phytoplankton time series data / A.F. Zuur [and others] -- Mixed effects modelling applied on American foulbrood affecting honey bees larvae / A.F. Zuur [and others] -- Three-way nested data for age determination techniques applied to cetaceans / E.N. Ieno [and others] -- GLMM applied on the spatial distribution of koalas in a fragmented landscape / J.R. Rhodes [and others] -- A comparison of GLM, GEE, and GLMM applied to badger activity data / N.J. Walker [and others] -- Incorporating temporal correlation in seal abundance data with MCMC / A.A. Saveliev [and others] -- Required pre-knowledge : a linear regression and additive modelling example |
| Summary |
Building on the successful 'Analysing Ecological Data', the authors now provide an expanded introduction to using regression and its extensions in analysing ecological data. As with the earlier book, real data sets from postgraduate ecological studies or research projects are used throughout |
| Analysis |
R (Computer program language) |
|
Ecology |
|
Statistics |
|
Linear models |
|
Mathematical Models, Simulation Models |
|
Ecology (General) |
|
Wiskundige modellen, simulatiemodellen |
|
Ecologie (algemeen) |
| Bibliography |
Includes bibliographical references (pages 553-561) and index |
| Credits |
Series editors, M. Gail, K. Krickeberg, J.M. Samet, A. Tsiatis, W. Wong |
| Notes |
Print version record |
| Subject |
Ecology -- Statistical methods
|
|
R (Computer program language)
|
|
Multilevel models (Statistics)
|
|
Ecology.
|
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Programming languages (Electronic computers)
|
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Ecology
|
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Programming Languages
|
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Models, Statistical
|
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ecology.
|
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SCIENCE -- Environmental Science (see also Chemistry -- Environmental)
|
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NATURE -- Ecosystems & Habitats -- Wilderness.
|
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NATURE -- Ecology.
|
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SCIENCE -- Life Sciences -- Ecology.
|
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Sciences de la vie.
|
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Biomédecine.
|
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Programming languages (Electronic computers)
|
|
Ecology
|
|
Ecology -- Statistical methods
|
|
Multilevel models (Statistics)
|
|
R (Computer program language)
|
| Genre/Form |
dissertations.
|
|
Academic theses
|
|
Academic theses.
|
|
Thèses et écrits académiques.
|
| Form |
Electronic book
|
| ISBN |
9780387874586 |
|
0387874585 |
|
9780387874579 |
|
0387874577 |
|
9781441927644 |
|
1441927646 |
|
9781282036130 |
|
1282036130 |
|
