Improving Statistical Reasoning

Author: Peter Sedlmeier
Publisher: Psychology Press
ISBN: 1135705763
Format: PDF, ePub
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This book focuses on how statistical reasoning works and on training programs that can exploit people's natural cognitive capabilities to improve their statistical reasoning. Training programs that take into account findings from evolutionary psychology and instructional theory are shown to have substantially larger effects that are more stable over time than previous training regimens. The theoretical implications are traced in a neural network model of human performance on statistical reasoning problems. This book apppeals to judgment and decision making researchers and other cognitive scientists, as well as to teachers of statistics and probabilistic reasoning.

Judgment Under Uncertainty

Author: Daniel Kahneman
Publisher: Cambridge University Press
ISBN: 9780521284141
Format: PDF
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The thirty-five chapters in this book describe various judgmental heuristics and the biases they produce, not only in laboratory experiments but in important social, medical, and political situations as well. Individual chapters discuss the representativeness and availability heuristics, problems in judging covariation and control, overconfidence, multistage inference, social perception, medical diagnosis, risk perception, and methods for correcting and improving judgments under uncertainty. About half of the chapters are edited versions of classic articles; the remaining chapters are newly written for this book. Most review multiple studies or entire subareas of research and application rather than describing single experimental studies. This book will be useful to a wide range of students and researchers, as well as to decision makers seeking to gain insight into their judgments and to improve them.


Author: United States. Office of Educational Research and Improvement
Format: PDF, Docs
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Decision support systems engineering

Author: Andrew P. Sage
Publisher: Wiley-Interscience
ISBN: 9780471530008
Format: PDF, Kindle
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Provides a comprehensive discussion of the design and use of decision support systems. It describes the generic technological components of such systems, emphasizing system requirements analysis and specification, the use of alternative analytical methods and how systems can be evaluated. It then discusses the formulation of user needs, their translation into system requirements, the hardware and software allocation of these requirements, and the development of suitable hardware and software architectures.