The explanatory power of explanatory variables

Forward selection of explanatory variables.

This paper proposes a new way of using forward selection of explanatory variables in regression or canonical redundancy analysis. The classical forward selection method presents two problems: a highly inflated Type I error and an overestimation of the amount of explained variance. Correcting these problems will greatly improve the performance of this very useful method in ecological modeling. T...

Modelling with multiple explanatory variables.

Parsimony and explanatory power

Parsimony can be related to explanatory power, either by noting that each additional requirement for a separate origin of a feature reduces the number of observed similarities that can be explained as inheritance from a common ancestor; or else by applying Popper s formula for explanatory power together with the fact that parsimony yields maximum likelihood trees under No Common Mechanism (NCM)...

The Explanatory Power of Dispositional Essentialism

In this paper, I look at the argument for Dispositional Essentialism (DE) that has been put forward by A. Bird in his recent book Nature’s Metaphysics. Bird’s overall argument comes in two parts, one negative and one positive, which together are to establish DE as the best contender for a theory of properties and laws. I argue that, even if all their particular steps go through, both parts of t...

Quantitative Parsimony and Explanatory Power

The desire to minimize the number of individual new entities postulated is often referred to as quantitative parsimony. Its influence on the default hypotheses formulated by scientists seems undeniable. I argue that there is a wide class of cases for which the preference for quantitatively parsimonious hypotheses is demonstrably rational. The justification, in a nutshell, is that such hypothese...