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Logic of Statistical Inference
One of Ian Hacking's earliest publications, this book showcases his early ideas on the central concepts and questions surrounding statistical reasoning. He explores the basic principles of statistical reasoning and tests them, both at a philosophical level and in terms of their practical consequences for statisticians. Presented in a fresh twenty-first-century series livery, and including a specially commissioned preface written by Jan-Willem Romeijn, illuminating its enduring importance and relevance to philosophical enquiry, Hacking's influential and original work has been revived for a new generation of readers.
Book Details
- Publisher: Cambridge University Press
- Publish Date: Aug 26th, 2016
- Pages: 226
- Language: English
- Edition: undefined - undefined
- Dimensions: 9.09in - 6.00in - 0.49in - 0.72lb
- EAN: 9781316508145
- Categories: • Probability & Statistics - General• Logic
About the Author
Hacking, Ian: - 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).
More books by Ian Hacking
What people are saying
Ryan Giordano
@rgiordan
3 years
I'm an assistant professor of statistics at UC Berkeley. He / him.
@michael_wiebe My interest in fiducial inference was renewed by chapter 9 of The Logic of Statistical Inference by Ian Hacking. He clearly discusses its relationship to pivots, to Bayesian inference, and its general shortcomings.
What people are saying
Ryan Giordano
@rgiordan
3 years
I'm an assistant professor of statistics at UC Berkeley. He / him.
@michael_wiebe My interest in fiducial inference was renewed by chapter 9 of The Logic of Statistical Inference by Ian Hacking. He clearly discusses its relationship to pivots, to Bayesian inference, and its general shortcomings.