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Tier 3 — Observational / field trialPeer-reviewed

& Roy, D. B. Application of generalized additive models to butterfly transect count data

Rothery, P

Appl. Stat. 28, 897-909 (2001) · 2001

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Summary

Abstract A Generalized Additive Model (GAM) is an extension of a generalized linear model (GLM) in which the expected value of a mean response, ⋼ = E( Y ), is linked to a set of additive nonparametric functions in the independent variables X 1 , hellip;, X p .

Outcomes reported

Referenced by Nature Communications British biodiversity scenarios as citation 123; likely supports topic area: methods / modelling / statistics. Topics: methods / modelling / statistics Evidence type: Modelling / projection Source report: Nature Communications British biodiversity scenarios Ref#: Nature Communications British biodiversity scenarios #123 Original: Rothery, P. & Roy, D. B. Application of generalized additive models to butterfly transect count data. J. Appl. Stat. 28, 897-909 (2001).

Theme
Farming systems, soils & land use
Subject
Other / interdisciplinary
Study type
Research
Source type
Peer-reviewed research
Status
Published
Geography
United Kingdom
System type
Other
DOI
10.1002/9780470057339.vag007
Catalogue ID
IRmoq83nfn-f5f786
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