Mixed Effects Models and Extensions in Ecology with R
Springer-Verlag New York Inc.
978-1-4419-2764-4 (ISBN)
Limitations of Linear Regression Applied on Ecological Data.- Things are not Always Linear; Additive Modelling.- Dealing with Heterogeneity.- Mixed Effects Modelling for Nested Data.- Violation of Independence – Part I.- Violation of Independence – Part II.- 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.- Large-Scale Impacts of Land-Use Change in a Scottish Farming Catchment.- Negative Binomial GAM and GAMM to Analyse Amphibian Roadkills.- Additive Mixed Modelling Applied on Deep-Sea Pelagic Bioluminescent Organisms.- Additive Mixed Modelling Applied on Phytoplankton Time Series Data.- Mixed Effects Modelling Applied on American Foulbrood Affecting Honey Bees Larvae.- Three-Way Nested Data for Age Determination Techniques Applied to Cetaceans.- GLMM Applied on the Spatial Distribution of Koalas in a Fragmented Landscape.- A Comparison of GLM, GEE, and GLMM Applied to Badger Activity Data.- Incorporating Temporal Correlation in Seal Abundance Data with MCMC.
Erscheint lt. Verlag | 6.4.2011 |
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Reihe/Serie | Statistics for Biology and Health |
Zusatzinfo | XXII, 574 p. |
Verlagsort | New York, NY |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Mathematik / Informatik ► Mathematik |
Naturwissenschaften ► Biologie ► Ökologie / Naturschutz | |
Technik ► Umwelttechnik / Biotechnologie | |
ISBN-10 | 1-4419-2764-6 / 1441927646 |
ISBN-13 | 978-1-4419-2764-4 / 9781441927644 |
Zustand | Neuware |
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