This book, divided into two volumes, is intended to bring intelligence analysts and others abreast of current scholarship, from many disciplines, on the process of drawing conclusions from a mass of incomplete, inconclusive, and unreliable evidence. Volume I contains seventeen chapters on various evidential and inferential issues; though they contain some symbols and diagrams, the chapters in this volume contain almost no mathematics.
David A. Schum is Professor of Information Technology and Operations Research/Applied Statistics at George Mason University in Fairfax, Virginia.
Schum has concocted something new and important out of a large variety of disciplines. He has created, almost single-handedly, a new science of evidence and inference.