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Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
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TLDR
The second edition of this book is unique in that it focuses on methods for making formal statistical inference from all the models in an a priori set (Multi-Model Inference).Abstract:
Introduction * Information and Likelihood Theory: A Basis for Model Selection and Inference * Basic Use of the Information-Theoretic Approach * Formal Inference From More Than One Model: Multi-Model Inference (MMI) * Monte Carlo Insights and Extended Examples * Statistical Theory and Numerical Results * Summaryread more
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Journal ArticleDOI
Methods to quantify variable importance: implications for the analysis of noisy ecological data.
TL;DR: Using zero-order correlations to eliminate predictor variables with correlations near zero, followed by the use of independent effects to assign overlap areas and rank variable importance is recommended.
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Over-winter lipid depletion and mortality of age-0 rainbow trout (Oncorhynchus mykiss)
TL;DR: The size-dependent risk of winter starvation mortality as a strong selective pressure on age-0 rainbow trout (Oncorhynchus mykiss) that could promote the risk-taking behaviour and allocation of energy to lipids previously observed in young trout cohorts is identified.
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Prey density, environmental productivity and home-range size in the Eurasian lynx (Lynx lynx)
TL;DR: Sex emerged as a significant explanatory variable with males having larger home ranges than females and the size of male home-ranges increased faster with decreasing prey density than for females, which supports widely held predictions that variation in home-range size is due to variation in prey density.
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Structure-function relationship and diagnostic value of macular ganglion cell complex measurement using Fourier-domain OCT in glaucoma
TL;DR: A curvilinear function best described the relationship between VF sensitivity and GCC thickness, and Macular GCC thickness and RNFL thickness showed similar diagnostic performance for detecting early, moderate, and severe glaucoma.
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Ecosystem restoration strengthens pollination network resilience and function
Christopher N. Kaiser-Bunbury,James Mougal,Andrew E. Whittington,Terence Valentin,Ronny Gabriel,Jens M. Olesen,Nico Blüthgen +6 more
TL;DR: It is demonstrated that network structure is a suitable indicator for pollination quality, highlighting the usefulness of interaction networks in environmental management and suggesting that the degradation of ecosystem functions is at least partially reversible.