Introduction

Kent W. Staley

299-304

The error statistical philosopher as normative naturalist

Deborah G. Mayo, Jean Miller

305-314

Methodological naturalism and epistemic internalism

Gregory Wheeler, Luis Moniz Pereira

315-328

A new formulation of the principle of indifference

Rodolfo de Cristofaro

329-339

Objective bayesianism with predicate languages

Jon Williamson

341-356

Model structure adequacy analysis

selecting models on the basis of their ability to answer scientific questions

Mark L. Taper, David F. Staples, Bradley B. Shepard

357-370

Computer simulation through an error-statistical lens

Wendy S. Parker

371-384

How experimental algorithmics can benefit from Mayo's extensions to Neyman–Pearson theory of testing

Thomas Bartz-Beielstein

385-396

Error-statistical elimination of alternative hypotheses

Kent W. Staley

397-408

Error probabilities for inference of causal directions

Jiji Zhang

409-418

Addressing confounding errors when using non-experimental, observational data to make causal claims

Andrew Ward, Pamela Jo Johnson

419-432

A sufficient condition for pooling data

Frederick Eberhardt

433-442