Download the fantastic book titled Theory of Decision Under Uncertainty written by Itzhak Gilboa, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Theory of Decision Under Uncertainty", which was released on 16 March 2009. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Business & Economics genre.
Summary of Theory of Decision Under Uncertainty by Itzhak Gilboa PDF
This book describes the classical axiomatic theories of decision under uncertainty, as well as critiques thereof and alternative theories. It focuses on the meaning of probability, discussing some definitions and surveying their scope of applicability. The behavioral definition of subjective probability serves as a way to present the classical theories, culminating in Savage's theorem. The limitations of this result as a definition of probability lead to two directions - first, similar behavioral definitions of more general theories, such as non-additive probabilities and multiple priors, and second, cognitive derivations based on case-based techniques.
Detail About Theory of Decision Under Uncertainty PDF
- Author : Itzhak Gilboa
- Publisher : Cambridge University Press
- Genre : Business & Economics
- Total Pages : 216 pages
- ISBN : 052151732X
- Release Date : 16 March 2009
- PDF File Size : 10,9 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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