(PDF) Table 4: Model Averaged Parameter (Based on Models

Table 4: Model Averaged Parameter (Based on Models With ΔAICC < 2) and Relative Variable Importance (Measured Considering the Sum of the Akaike Weights Over All Models in Which That Variable Appears) of Predictors From Multi-Scale Models of Nest Survival for Water Rail and the Most Parsimonious Model for Little Crake.

doi 10.7717/peerj.3164/table-4

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Figure 4: Plot of the Akaike Weights for Exponent-Pairs With B = 1, Using the Least AIC Amongst Generalized Bertalanffy-Models (Red) and the Least AIC Amongst All Considered Models (Blue); All AICs Using K = 4.

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doi 10.7717/peerj.3164/table-4

Full Text

Abstract

Date

Authors

Publisher

Related search

Table 6: Model-Averaged Parameter Estimates Included in the Most Parsimonious Models (Models Within 2 Units of the ΔAICc) for Each Pathogen.

A Farewell to the Sum of Akaike Weights: The Benefits of Alternative Metrics for Variable Importance Estimations in Model Selection

Table 3: Variable Contribution and Permutation Importance for the Multivariate Models, Normalized to Percentages.

Table 1: Estimates and Importance (Σwi) From Model-Averaged Models for Mass Gain and Liquid Loads at the Site Level.

Figure 4: Plot of the Akaike Weights for Exponent-Pairs With B = 1, Using the Least AIC Amongst Generalized Bertalanffy-Models (Red) and the Least AIC Amongst All Considered Models (Blue); All AICs Using K = 4.

Table 4: OLS and SAR Models for the Relationship Between Species Richness and Environmental Predictors of the Best Model Given a Respective Spatial Scale.

Regression Models for Choice-Based Samples With Misclassification in the Response Variable

Table 6: Parameter Estimates From the Mixed-Effects Models for Weight, Using Baseline MVPA (Model 1), Light (Model 2) and Sedentary Activity (Model 3).

Two-Stage Bayesian Model Averaging in Endogenous Variable Models