Model Selection And Multimodel Inference A Practical Information Theoretic Approach - jackpurcellbooks.us

model selection using the akaike information criterion - this web page basically summarizes information from burnham and anderson 2002 go there for more information the akaike information criterion aic is a way of selecting a model from a set of models, generalized linear mixed models a practical guide for - whereas glmms themselves are uncontroversial describing how to use them to analyze data necessarily touches on controversial statistical issues such as the debate over null hypothesis testing the validity of stepwise regression and the use of bayesian statistics others have thoroughly discussed these topics e g 17 18 19 we acknowledge the difficulty while remaining agnostic, aic bic vs crossvalidation r bloggers - model selection is a process of seeking the model in a set of candidate models that gives the best balance between model fit and complexity burnham anderson 2002 i have always used aic for that but you can also do that by crossvalidation specifically stone 1977 showed that the aic and leave one out crossvalidation are asymptotically equivalent, experimentally induced innovations lead to persistent - this project was supported by grants from the bbsrc bb l006081 1 and the erc adg 250164 to b c s who was also supported by a visiting professorship at uppsala university, bony cranial ornamentation linked to rapid evolution of - augmenting the results from the pgls we took advantage of the discrete character analytical ability of the threshold model of evolution 23 24 the threshold model of evolution is a method adapted, eurasian jays do not copy the choices of conspecifics but - corvids birds in the crow family are hypothesised to have a general cognitive tool kit because they show a wide range of transferrable skills across social physical and temporal tasks despite differences in socioecology however it is unknown whether relatively asocial corvids differ from social corvids in their use of social information in the context of copying the choices of others, is the abandonment of traditional livestock farming - highlights we evaluate regional drivers in agricultural land cover changes in the italian alps we quantify land cover changes during the period 1980 2000 the average loss of agricultural areas was 40 with a large variability forest expansion was higher on the steepest slope class loss of open areas is mainly related to abandonment of extensive livestock farms