This reissue of D. A. Gillies highly influential work, first published in 1973, is a philosophical theory of probability which seeks to develop von Mises’ views on the subject. In agreement with von Mises, the author regards probability theory as a mathematical science like mechanics or electrodynamics, and probability as an objective, measurable concept like force, mass or charge. On the other hand, Dr Gillies rejects von Mises’ definition of probability in terms of limiting frequency and claims that probability should be taken as a primitive or undefined term in accordance with modern axiomatic approaches. This of course raises the problem of how the abstract calculus of probability should be connected with the ‘actual world of experiments’. It is suggested that this link should be established, not by a definition of probability, but by an application of Popper’s concept of falsifiability. In addition to formulating his own interesting theory, Dr Gillies gives a detailed criticism of the generally accepted Neyman Pearson theory of testing, as well as of alternative philosophical approaches to probability theory. The reissue will be of interest both to philosophers with no previous knowledge of probability theory and to mathematicians interested in the foundations of probability theory and statistics.

First published in 1985, this title includes contributions from leading economists and addresses many seminal aspects of Keynes' work and methods. This revival will be of particular interest to lecturers and advanced students of economics.

"Creating a rigorous mathematical theory of randomness is far from being complete, even in the classical case. Interrelation of Classical and Quantum Randomness rectifies this and introduces mathematical formalisms of classical and quantum probability and randomness with brief discussion of their interrelation and interpretational and foundational issues. The book presents the essentials of classical approaches to randomness, enlightens their successes and problems, and then proceeds to essentials of quantum randomness. Its wide-ranging and comprehensive scope makes it suitable for researchers in mathematical physics, probability and statistics at any level"--

The ideas of C. D. Broad have affected the work of moral philosophers throughout the twentieth century to the present day. First published in 1971, this edited volume contains Broad’s best essays on the philosophical problems of Ethics, mostly written and published between 1914 and 1964. Among the essays are Broad’s important critiques of G. E. Moore’s ethical theory, his lecture entitled ‘Determinism, Indeterminism and Libertarianism’, and other pieces discussing topics as broad as Conscience, Egoism and Free Will. This reissue serves as an important companion to Broad’s other works, a number of which have also been reissued within the Routledge Library Editions series, and will be invaluable to students interested in Broad’s theories and twentieth-century philosophical thought.

This volume can not be regarded as a history of the doctrine of Atonement, nor yet as a study of the Scriptural witness to it. It is rather an examination of the various theories and the more recent trends of thought with regard to it. An explanation is necessary with regard to two points in the study. Firstly, it is confined to Britain and the tendencies of thought in this country and secondly only those thinkers have been included who have exercised an appreciative influence in certain circles and whose contributions to the subject have carried weight in the sphere of theological thought.

Another title in the reissued Oxford Classic Texts in the Physical Sciences series, Jeffrey's Theory of Probability, first published in 1939, was the first to develop a fundamental theory of scientific inference based on the ideas of Bayesian statistics. His ideas were way ahead of their time and it is only in the past ten years that the subject of Bayes' factors has been significantly developed and extended. Until recently the two schools of statistics (Bayesian and Frequentist) were distinctly different and set apart. Recent work (aided by increased computer power and availability) has changed all that and today's graduate students and researchers all require an understanding of Bayesian ideas. This book is their starting point.