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Decision Making under Risk and Uncertainty: New Models and Empirical Findings (Theory and Decision Library B:)

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Published by Springer .
Written in English

Subjects:

  • Risk assessment & analysis for business,
  • Uncertainty (Information theor,
  • Decision making,
  • Business Decision Making,
  • Business & Economics,
  • Business / Economics / Finance,
  • Risk,
  • Business/Economics,
  • Operations Research,
  • Economics - Theory,
  • Decision Making & Problem Solving,
  • Business & Economics / Decision-Making & Problem Solving,
  • Business & Economics / Operations Research,
  • Business & Economics-Economics - Theory,
  • Business & Economics-Operations Research,
  • Uncertainty (Information theory),
  • Congresses,
  • Mathematical models

Book details:

The Physical Object
FormatHardcover
Number of Pages276
ID Numbers
Open LibraryOL7806986M
ISBN 100792319044
ISBN 109780792319047

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Decision Making Under Risk and Uncertainty: New Models and Empirical Findings (Theory and Decision Library B) nd Edition by J. Geweke (Editor) ISBN  › Books › New, Used & Rental Textbooks › Business & Finance. Get this from a library! Decision making under risk and uncertainty: new models and empirical findings. [John Geweke;]   Decision Making Under Risk and Uncertainty: New Models and Empirical Findings / Edition 1 available in Hardcover. Add to Wishlist. ISBN ISBN Pub. Date: 08/31/ Publisher: Springer Netherlands. Decision Making Under Risk and Uncertainty: New Models and Empirical Findings / Edition 1. by J. Geweke | Read :// Decision making under risk and uncertainty: new models and empirical findings edited by John Geweke (Theory and decision library, Series B. Mathematical and statistical methods ; v. 22) Kluwer Academic Publishers,

  Abstract—This paper focuses on managerial decision making under risk and uncertainty. Since no one, so far, has studied managers´ risk attitudes in parallel with their actual behavior when handling risky prospects the area still remains   making under uncertainty in one place, much as the book by Puterman [] on Markov decision processes did for Markov decision process theory. In partic-ular, the aim is to give a uni ed account of algorithms and theory for sequential decision making problems, including reinforcement learning. Starting from ~chrdimi/downloads/ Decision Making Under Risk and Uncertainty: New Models and Empirical Findings Volume 22 of Theory and Decision Library B: Editor: J. Geweke: Edition: illustrated: Publisher: Springer Science & Business Media, ISBN: , Length: pages: Subjects   The Journal of Risk and Uncertainty features both theoretical and empirical papers that analyze risk-bearing behavior and decision-making under uncertainty. The journal serves as an outlet for important, relevant research in decision analysis, economics, and psychology. Among the topics covered in the journal are decision theory and the economics of uncertainty, psychological models of choice

Decision Making Under Risk and Uncertainty: New Models and Empirical Findings (Bog, Hardback, Engelsk) - Forlag: Springer - ISBN   Microeconomics: Decision-Making under Risk & Uncertainty eJournal. OLIVER D. HART Professor / Andrew E. Furer Professor of Economics, Harvard University - Department of Economics, National Bureau of Economic Research (NBER), European Corporate Governance Institute (ECGI) BENGT R. HOLMSTRÖM The widespread and systematic empirical violations of the linearity property has put under discussion the descriptive validity of the theory, giving rise to a growing body of literature of new theoretical models of choice under risk as, for instance, Prospect Theory (Kahneman and Tversky ; Tversky and Kahneman ), Rank Dependent Utility    Static Decision Models under Risk 1 The First SEU-Testing Experiments. The natural starting point is (Subjective) Expected Utility (SEU), and with Maurice Allais’ sustained attack on it (see, in particular Allais ()).We do not need to extol the theoretical virtues of SEU—its simplicity, elegance and coherence—as these have been well-evidenced throughout this ://