Simplified large African carnivore density estimators from track indices
Simplified large African carnivore density estimators from track indices is a scholarly work by Michael J. Somers, published in 2016 in ''PeerJ''. The main subjects of the publication include standard error, Proper linear model, carnivore, range, econometrics, population, regression analysis, mathematics, regression, ordinary least squares, Akaike information criterion, simple linear regression model, confidence interval, linear model, estimator, linear regression, Best linear unbiased prediction, generalized linear model, statistics, and beaver. The authors assess whether a linear regression through the origin is more appropriate than a linear regression with intercept to model large African carnivore densities and track indices.MethodsWe did simple linear regression with intercept analysis and simple linear regression through the origin and used the confidence interval for ß in the linear modely = αx + ß, Standard Error of Estimate, Mean Squares Residual and Akaike Information Criteria to evaluate the models.ResultsThe Lion on Clay and Low Density on Sand models with intercept were not significant (P > 0.05).