Error and Inference

Explore the intricate relationship between philosophy and statistical inference in "Error and Inference" by Deborah G. Mayo. Published in 2010, this insightful book spans 440 pages and serves as a vital resource for anyone interested in the intersection of science, mathematics, and empirical modeling. Through engaging dialogues between prominent editors and leaders in the fields of philosophy of science, statistics, and economics, Mayo presents a comprehensive introduction to the challenges faced in traditional philosophy of science and their relevance to modern inference practices. This volume is essential for scholars and practitioners alike, providing a deep understanding of how theoretical concepts apply to real-world statistical modeling. Dive into "Error and Inference" and enhance your knowledge of the philosophical underpinnings that shape our understanding of data and inference.