Statistics: An Introduction Using R

By Hon Keung Tony Ng. Technometrics, 2006

1,259 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/97ca0c097ea27b7e1075ec4b3ad8eb76f4d656ce

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Citations in the corpus

Development, specificity and sublethal effects of symbiont‐conferred resistance to parasitoids in aphids (2012, background): “As recommended by Crawley (2005) for quasibinomial fits, 153 F-tests rather than χ2-tests to compare deviances of models with and without the effects to be 154 tested.”
Abiotic factors may explain the geographical distribution of flower colour morphs and the maintenance of colour polymorphism in the scarlet pimpernel (2013, methodology): “ent link functions and error distributions depending on the type of response variable modelled (Crawley 2005).”
Seedling recruitment, survival and facilitation in alpine Pinus uncinata tree line ecotones. Implications and potential responses to climate warming (2009, methodology): “…honestly significant differences test was used to compare the means for the levels of each factor, since this procedure allows the problem of ‘false positives’ to be resolved when doing multiple comparisons (i.e. it rejects a null hypothesis more often than the significance level) (Crawley, 2005).”
Aphids in a changing world: testing the plant stress, plant vigour and pulsed stress hypotheses (2012, methodology): “Models were simplified by removing the blocks and any interactions that did not improve the statistical power as described by Crawley (2005, 2007).”
Benthic community-mediated sediment dynamics (2008, methodology): “In all cases we departed from a model which contained all explanatory variables and their interactions (i.e. overparameterised) and used a step-wise elimination of parameters, based on Akaike’s Information Criterion (AIC; Crawley 2005), to reach a minimal adequate model (MAM).”
Do female association preferences predict the likelihood of reproduction? (2010, methodology): “Models were compared using analysis of variance (F tests) or penalised log likelihood scores (Akaike’s Information Criterion (AIC); Crawley 2005).”
Where forest meets urbanization: foraging plasticity of aerial insectivorous bats in an anthropogenically altered environment (2010, methodology): “In all linear mixed-effect models, fixed factors and random factors were fit by maximum likelihood (Pinheiro and Bates 2000), and a stepwise model simplification based on likelihood ratio tests to the minimum adequate model (Crawley 2005) was conducted.”
How does temperature affect behaviour? Multilevel analysis of plasticity, personality and predictability in hermit crabs (2013, positive): “1), starting with those fixed (mean-level) factors with the largest P value (Crawley 2005).”
Unpredictable animals: individual differences in intraindividual variability (IIV) (2012, methodology): “2), they were removed from the model before refitting (Crawley 2005).”
Forest management effects on carabid beetle communities in coniferous and broadleaved forests: implications for conservation (2008, background): “If over-dispersion occurred, the quasi-Poisson error family was specified (Crawley, 2005).”
Measuring and modelling above-ground carbon and tree allometry along a tropical elevation gradient (2012, methodology): “Analyses of deviance (likelihood ratio tests) were used to test the probability that the amount of deviance explained was not reduced from full (unreduced) models (p[D]; Crawley, 2005; Zuur et al., 2010).”