Mixed Effects Models and Extensions in Ecology with R

Mixed Effects Models and Extensions in Ecology with R By Zuur, Alain Published by Springer Publication Date: 2009-03-12 Subject: Computers Mathematical & Statistical Software, Medical Biostatistics, Medical Biostatistics, Science Environmental Science, Science Life Sciences Ecology, Science Environmental Science (See Also Chemistry - Environmental), Science Life Sciences - Ecology, Ecological Science, The Biosphere, Applied Mathematics, Environmental Monitoring, Probability And Statistics, The Environment, Biologie Ökologie, Life Sciences: General, Ecological Science, The Biosphere, Science Life Sciences Ecology, Science, Life Sciences, Ecology, Medical Biostatistics, Medical, Biostatistics, Science Environmental Science, Environmental Science, Probability And Statistics, The Environment, Applied Mathematics, Environmental Monitoring, Ecology - Statistical Methods, R Computer Program Language, Anf: Science, Probability & Statistics - General Subject Keywords: GLM; R and ecology; ecological analysis; ecological statistics; ecology; environment; mixed effects modeling; phytoplankton; plankton Genre: Ecological Science, The Biosphere, Science, Life Sciences, Ecology, Medical, Biostatistics, Science, Environmental Science, Ecological Science, The Biosphere, Probability And Statistics, The Environment, Applied Mathematics, Environmental Monitoring Target Audience: Professional and scholarly