Multiple regression model coefficient estimates for primates (left) and Bioko’s Rodents (right).

<p>Multiple regression models were created using a backwards stepwise approach with model of best fit evaluation based on AIC values. Independent predictor variables with the highest inclusion probability from each of the Bayesian predictive models (16 total–four interventions per market group) were included in the multiple regression analysis. Five models were created for each market group based on the five identified Semu market periods. Coefficient estimates for each model of best fit are displayed here.</p> <p>(PDF)</p>

Publication Details

Journal
Figshare
Published
2024-11-20
DOI
https://doi.org/10.1371/journal.pstr.0000139.s016
Primary Topic
Statistical Methods and Bayesian Inference
Type
article
Field-Weighted Citation Impact
0.00
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article

Multiple regression model coefficient estimates for primates (left) and Bioko’s Rodents (right).

Figshare
Statistical Methods and Bayesian Inference
article

Multiple regression model coefficient estimates for primates (left) and Bioko’s Rodents (right).

article en

Abstract

<p>Multiple regression models were created using a backwards stepwise approach with model of best fit evaluation based on AIC values. Independent predictor variables with the highest inclusion probability from each of the Bayesian predictive models (16 total–four interventions per market group) were included in the multiple regression analysis. Five models were created for each market group based on the five identified Semu market periods. Coefficient estimates for each model of best fit are displayed here.</p> <p>(PDF)</p>

Figshare
Reduced inequalities
Openalex Percentile: Top 65%
Statistical Methods and Bayesian Inference
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Multiple regression model coefficient estimates for primates (left) and Bioko’s Rodents (right). · Figshare (2024) | TGRS Research Map | TGRS