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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
Microbes on mountainsides: Contrasting elevational patterns of bacterial and plant diversity
Jessica A. Bryant,Christine Lamanna,Hélène Morlon,Andrew J. Kerkhoff,Brian J. Enquist,Brian J. Enquist,Brian J. Enquist,Jessica L. Green +7 more
TL;DR: The findings suggest that the forces structuring microorganism and macroorganism communities along elevational gradients differ, and that the influence of sample scale in intertaxonomic comparisons remains a challenge.
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Flattening of Caribbean coral reefs: region-wide declines in architectural complexity
Lorenzo Alvarez-Filip,Nicholas K. Dulvy,Jennifer A. Gill,Jennifer A. Gill,Isabelle M. Côté,Andrew R. Watkinson +5 more
TL;DR: This work provides the first region-wide analysis of changes in reef architectural complexity, using nearly 500 surveys across 200 reefs, between 1969 and 2008, and suggests regional-scale degradation and homogenization of reef structure.
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Regional and phylogenetic variation of wood density across 2456 Neotropical tree species.
Jérôme Chave,Helene C. Muller-Landau,Timothy R. Baker,Tomás A. Easdale,Hans ter Steege,Campbell O. Webb +5 more
TL;DR: This unprecedented wood density data set yields consistent guidelines for estimating wood densities when species-level information is lacking and should significantly reduce error in Central and South American carbon accounting programs.
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Systematic variation in the temperature dependence of physiological and ecological traits
TL;DR: Analysis of the rising component of within-species (intraspecific) responses reveals that 87% are fit well by the Boltzmann–Arrhenius model, and generalities and deviations in the thermal response of biological traits help to provide a basis to predict better how biological systems, from cells to communities, respond to temperature change.
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Understanding continued information technology usage behavior: a comparison of three models in the context of mobile internet
Abstract: This study examines the utility of three prospective models for understanding the continued IT usage behavior. The three models include: Expectation-Confirmation Model in IT Domain (ECM-IT), Technology Acceptance Model (TAM), and a hybrid model integrating TAM and ECM-IT (extended ECM-IT). Based on a survey of 1826 mobile Internet users, the LISREL analysis shows that all three models meet the various goodness-of-fit criteria. When compared using special indices for differentiating among alternative good models, TAM has the best fit to the data followed by ECM-IT, and the extended ECM-IT. In terms of variance explained for intention to continue IT usage, the extended ECM-IT has the highest R2 (67%) followed by TAM (63%), and ECM-IT (50%). We conclude that TAM is the most parsimonious and generic model that can be used to study both initial and continued IT adoption; the extended ECM-IT explains continued IT usage behavior as well as TAM; and both the ECM-IT and extended ECM-IT models provide additional information to increase our understanding of continued IT usage.