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科学数据
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Data from: Comparison of biometrical models for joint linkage association mapping
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- detection power. Three linear models and four linear mixed models with different approaches to control for population stratification were evaluated. Models
Data from: Generalized linear mixed models for mapping multiple quantitative trait loci
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- effects are treated as random, they can be estimated in a single generalized linear mixed model (GLMM), even if the number of QTL may be larger tha
Data from: Using dynamic N-mixture models to test cavity limitation on northern flying squirrel demographic parameters using experimental ne
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- Abundance apparent survival BACI design habitat selection Dail-Madsen open N-mixture model recruitment snags tree cavities manipulative experiment
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- k-recapture models, although the latter had greater precision. Generalized linear mixed models produced lower abundance estimates, but revealed the sam
Data from: Predictive modeling of ecological patterns along linear-feature networks
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- Ladle, Andrew
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- on human activity to be collected. However, the analysis of these data still can be challenging. Using a combination of generalised linear mixed-effects models
Data from: A comparison of regression methods for model selection in individual-based landscape genetic analysis
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- tic and landscape distances. We found that linear mixed effects models had the highest accuracy in every way we evaluated model performance, however, other method
Data from: A novel iterative mixed model to remap three complex orthopedic traits in dogs
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- mCPU model. These results were supported by simulation which demonstrated that the FarmCPU held no power advantage over the linear mixed model
Data from: Mixed linear model approach for mapping quantitative trait loci underlying crop seed traits
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- by Markov chain Monte Carlo algorithm for Gaussian mixed linear model via Gibbs sampling. Monte Carlo simulations were performed to investigate the reliability and efficiency
Data from: A toolkit for optimizing fish passage barrier mitigation actions
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- . In this study, we present a combined modelling approach involving statistical regression methods and mixed integer linear programming to maximize resident
Data from: Mapping and exploring variation in post-fire vegetation recovery following mixed severity wildfire using airborne LiDAR
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- vegetation cover was 22–40% higher in areas of low and moderate than high fire severity. Linear mixed-effects models showed that fire severity was amo
Data from: Rapid genetic assimilation of native wall lizard populations (Podarcis muralis) through extensive hybridization with introduced lineages
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- ges. In contrast to previous studies we found a non-linear relationship between genetic diversity and admixture level. The genetic diversity of hybrid populations
