The Bayesian Controversy In Context, 1919-1939 [Hardcover]

This 2002 book investigates how Bayesianism as one theory of probability was discredited in the 1920s and 1930s.Probability can be a numerical ratio; or, in the Bayesian sense, a degree of belief.This book is about these two types of probability and investigates how Bayesianism was discredited during the 1920s and 1930s. By examining a dispute between two Brisith scientists, the author argues that a choice between the two interpretations depends on the experiences of the individuals involved.The book should be of interest to scholars interested in statistics and probability theories and to general readers with an interest in the history, sociology and philosophy of science.Probability can be a numerical ratio; or, in the Bayesian sense, a degree of belief.This book is about these two types of probability and investigates how Bayesianism was discredited during the 1920s and 1930s. By examining a dispute between two Brisith scientists, the author argues that a choice between the two interpretations depends on the experiences of the individuals involved.The book should be of interest to scholars interested in statistics and probability theories and to general readers with an interest in the history, sociology and philosophy of science.This book is a study of the concept of probability as it has been used and applied across a number of scientific disciplines from genetics to geophysics. Probability has a dual aspect: sometimes it is a numerical ratio; sometimes, in the Bayesian interpretation, a degree of belief. David Howie examines probabilistic theories of scientific knowledge, and asks how, despite being adopted by many scientists and statisticians in the eighteenth and nineteenth centuries, Bayesianism was discredited as a theory of scientific inference during the 1920s and 1930s. Through a close examination of a dispute between two British scientists, the author argues that a choice between the two interpretations of probability is not forced by pure logic, or thlÃÂ