Table of Contents

Foreword; Preface; Part 1: Scientific process; 1. A Brief Tour of Statistical Concepts; 2. Models of Scientific Inquiry and Statistical Practice: Implications for the Structure of Scientific Knowledge; 3. Experiments, Observations, and Other Kinds of Evidence; Part 2: Logics of evidence; 4. An Error-Statistical Philosophy of Evidence; 5. The Likelihood Paradigm for Statistical Evidence; 6. Why Likelihood?; 7. Evidence Functions and the Optimality of the Law of Likelihood; Part 3: Realities of nature; 8. Whole-Ecosystem Experiments: Replication and Arguing from Error. An exploration of the statistical foundations of scientific inference, The Nature of Scientific Evidence asks what constitutes scientific evidence and whether scientific evidence can be quantified statistically. Mark Taper, Subhash Lele, and an esteemed group of contributors explore the relationships among hypotheses, models, data, and inference on which scientific progress rests in an attempt to develop a new quantitative framework for evidence. Informed by interdisciplinary discussions among scientists, philosophers, and statisticians, they propose a new "evidential" approach, whic.