This book is a philosophical study of the basic principles of statistical reasoning. Professor Hacking has sought to discover the simple principles which underlie modern work in mathematical statistics and to test them, both at a philosophical level and in terms of their practical consequences fort statisticians. The ideas of modern logic are used to analyse these principles, and results are presented without the use of unfamiliar symbolism. It begins with a philosophical analysis of a few central concepts and then, using an elementary system of logic, develops most of the standard statistical theory. the analysis provides answers to many disputed questions about how to test statistical hypotheses and about how to estimate quantities in the light of statistical data. One product of the analysis is a sound and consistent rationale for R. A. Fisher's controversial concept of 'fiducial probability'.
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This book is a philosophical study of the basic principles of statistical reasoning. Professor Hacking has sought to discover the simple principles that underlie modern work in mathematical statistics and to test them, both at a philosophical level and in terms of their practical consequences fort statisticians.
Ian Hacking is Emeritus Professor of Philosophy at the University of Toronto. He has published extensively on logic, philosophy of science, philosophy of maths and metaphysics. His most recent publications include Why Is There Philosophy of Mathematics At All? (Cambridge, 2014), Scientific Reason (2009) and Exercises in Analysis (Cambridge, 2009).
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