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Detalles de la obra

Título:
Judgement under uncertainty
Subtítulo:
heuristics and biases
Autor(es):
Kahneman, Daniel, ed.; Slovic, Paul, ed.; Tversky, Amos, ed.
Pie de imprenta:
New York: Cambridge University, c1982
Descripción física:
xiii, 555 p. grafs. 23 x 16 cm.
Idioma:
Inglés
ISBN:
978-0-521-28414-1
Resumen:
Contiene: I. Introduction: 1. Judgment under uncertainty: heuristics and biases Amos Tversky and Daniel Kahneman. II. Representativeness: 2. Belief in the law of small numbers Amos Tversky and Daniel Kahneman. 3. Subjective probability: a judgment of representativeness Daniel Kahneman and Amos Tversky. 4. On the psychology of presiction Daniel Kahneman and Amos Tversky. 5. Studies of representativeness Maya Bar-Hillel. 6. Judgments of and by representativeness Amos Tversky and Daniel Kahneman. III. Causality and Attribution: 7. Popular induction: information is not necessarily informative Richard E. Nisbett, Eugene Borgida, Rick Crandall and Harvey Reed. 8. Causal schemas in judgments under uncertainty Amos Tversky and Daniel Kahneman. 9. Shortcomings in the attribution process: on the origins and maintenance of erroneous social assessments Lee Ross and Craig A. Anderson. 10. Evidential impact of base rates Amos Tversky and Daniel Kahneman. IV. Availability: 11. Availability: a heuristic for judging frequency and probability Amos Tversky and Daniel Kahneman. 12. Egocentric biases in availability and attribution Michael Ross and Fiore Sicoly. 13. The availability bias in social perception and interaction Shelley E. Taylor. 14. The simulation heuristic Daniel Kahneman and Amos Tversky. V. Covariation and Control: 15. Informal covariation asssessment: data-based versus theory-based judgments Dennis L. Jennings, Teresa M. Amabile and Lee Ross. 16. The illusion of control Ellen J. Langer. 17. Test results are what you think they are Loren J. Chapman and Jean Chapman. 18. Probabilistic reasoning in clinical medicine: problems and opportunities David M. Eddy. 19. Learning from experience and suboptimal rules in decision making Hillel J. Einhorn. VI. Overconfidence: 20. Overconfidence in case-study judgments Stuart Oskamp. 21. A progress report on the training of probability assessors Marc Alpert and Howard Raiffa. 22. Calibration of probabilities: the state of the art to 1980 Sarah Lichtenstein, Baruch Fischhoff and Lawrence D. Phillips. 23. For those condemned to study the past: heuristics and biases in hindsight Baruch Fischhoff. VII. Multistage Evaluation: 24. Evaluation of compound probabilities in sequential choice John Cohen, E. I. Chesnick and D. Haran. 25. Conservatism in human information processing Ward Edwards. 26. The best-guess hypothesis in multistage inference Charles F. Gettys, Clinton Kelly III and Cameron R. Peterson. 27. Inferences of personal characteristics on the basis of information retrieved from one's memory Yaacov Trope. VIII. Corrective Procedures: 28. The robust beauty of improper linear models in decision making Robyn M. Dawes. 29. The vitality of mythical numbers Max Singer. 30. Intuitive prediction: biases and corrective procedures Daniel Kahneman and Amos Tversky. 31. Debiasing Baruch Fischhoff. 32. Improving inductive inference Richard E. Nesbett, David H. Krantz, Christopher Jepson and Geoffrey T. Fong. IX. Risk Perception: 33. Facts versus fears: understanding perceived risk Paul Slovic, Baruch Fischhoff and Sarah Lichtenstein. X. Postscript: 34. On the study of statistical intuitions Daniel Kahneman and Amos Tversky. 35. Variants of uncertainty Daniel Kahneman and Amos Tversky.
Referencias bibliográficas:
Incluye Bibliografía
Ubicación física:
153.46 / KAH
Tipo de material:
[Material Impreso]