Pragmatics of Uncertainty

About the author

Dr. Polhemus is Chief Technology Officer for Statpoint Technologies, Inc. and directs the development of STATGRAPHICS. He received his B.S.E. and Ph.D. degrees from the School of Engineering and Applied Science at Princeton University, under the tutelage of Dr. J. Stuart Hunter. Dr. Polhemus spent two years as an assistant professor in the Graduate School of Business Administration at the University of North Carolina at Chapel Hill and six years as an assistant professor in the Engineering School at Princeton University.Dr. Polhemus founded Statistical Graphics Corporation in 1980 to develop and promote the STATGRAPHICS software program. In 1983, he founded Strategy Plus, Inc., which developed EXECUSTAT for DOS. Dr. Polhemus founded NWP Associates, Inc., in 1993 to develop STATLETS, a set of Java applets which permit statistical data analysis over the Internet. In 1999 development of STATGRAPHICS was assumed by Statpoint Technologies, Inc.Dr. Polhemus lives in northern Virginia with his wife Caroline and is the proud father of four sons: Christopher, Gregory, Leland, and Michael.

Summary

A fair question to ask of an advocate of subjective Bayesianism (which the author is) is "how would you model uncertainty?" In this book, the author writes about how he has done it using real problems from the past, and offers additional comments about the context in which he was working.

Product details

• Authors: Joseph B. Kadane, Kadane Joseph B.
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 27.09.2016
• EAN: 9781498719841
• ISBN: 978-1-4987-1984-1
• No. of pages: 352
• Series: Chapman & Hall/CRC Texts in Statistical Science
• Subjects: Social sciences, law, business > Business > General, dictionaries; MATHEMATICS / Probability & Statistics / General, MATHEMATICS / Probability & Statistics / Bayesian Analysis, Economic statistics, Probability & statistics, Probability and statistics, Econometrics and economic statistics, Bayesian Inference