Author: Stael Von Holstein
Publisher:
ISBN:
Category :
Languages : sv
Pages :
Book Description
Assessment and evaluation of subjective probability distribution
Assessment and Evaluation of Subjective Probability Distributions
Author: Carl-Axel S. Staël von Holstein
Publisher:
ISBN:
Category : Bayesian statistical decision theory
Languages : en
Pages : 248
Book Description
Publisher:
ISBN:
Category : Bayesian statistical decision theory
Languages : en
Pages : 248
Book Description
Assessment of Subjective Probability Distributions
Author: Michel Araten
Publisher:
ISBN:
Category : Decision making
Languages : en
Pages : 568
Book Description
Publisher:
ISBN:
Category : Decision making
Languages : en
Pages : 568
Book Description
Studies in Subjective Probability
Author: Henry Ely Kyburg
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 278
Book Description
Truth and probability; Foresight: its logical laws, its subjective sources; The bases of probability; Subjective probability as the measure of a non-measurable set; The elicitation of personal probabilities; Probability: beware of falsifications; Probable knowledge.
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 278
Book Description
Truth and probability; Foresight: its logical laws, its subjective sources; The bases of probability; Subjective probability as the measure of a non-measurable set; The elicitation of personal probabilities; Probability: beware of falsifications; Probable knowledge.
Congnitive Processes and the Assessment of Subjective Probability Distributions
Research Paper RM.
Author:
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 248
Book Description
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 248
Book Description
NBS Special Publication
Author:
Publisher:
ISBN:
Category : Weights and measures
Languages : en
Pages : 592
Book Description
Publisher:
ISBN:
Category : Weights and measures
Languages : en
Pages : 592
Book Description
Item Banking: Interactive Testing and Self-Assessment
Author: Dieudonne A. Leclercq
Publisher: Springer Science & Business Media
ISBN: 3642580335
Category : Education
Languages : en
Pages : 275
Book Description
Assessment has long been recognized as a key feature in learning efficacy, especially through formative evaluation. Item banking, the storage and classification of test items, is an essential part of systematic assessment. This volume is based on a NATO Advanced Research Workshop held as part of the Special Programme on Advanced Educational Technology. The workshop brought together scholars from around the world to discuss and critically analyze the issues and problems associated with Subjective Probability Measurement (SPM) or the more generic research area called self-assessment. Recent advances in computer technology (expert systems, interactive video disks, and hypermedia) along with the developing sophistication of self-assessment scoring systems based on SPM made this conference particularly important and timely. The book is divided into three main parts: - The input: item banking and hypermedia - The process: subjective probabilities - The output: teaching and learning feedbacks. In summary, although SPM is a difficult theoretical concept for most educators to comprehend, the sophisticated nature of modern computer systems coupled with comprehensive formative and summative evaluation and self-assessment systems make SPM transparent to the user.
Publisher: Springer Science & Business Media
ISBN: 3642580335
Category : Education
Languages : en
Pages : 275
Book Description
Assessment has long been recognized as a key feature in learning efficacy, especially through formative evaluation. Item banking, the storage and classification of test items, is an essential part of systematic assessment. This volume is based on a NATO Advanced Research Workshop held as part of the Special Programme on Advanced Educational Technology. The workshop brought together scholars from around the world to discuss and critically analyze the issues and problems associated with Subjective Probability Measurement (SPM) or the more generic research area called self-assessment. Recent advances in computer technology (expert systems, interactive video disks, and hypermedia) along with the developing sophistication of self-assessment scoring systems based on SPM made this conference particularly important and timely. The book is divided into three main parts: - The input: item banking and hypermedia - The process: subjective probabilities - The output: teaching and learning feedbacks. In summary, although SPM is a difficult theoretical concept for most educators to comprehend, the sophisticated nature of modern computer systems coupled with comprehensive formative and summative evaluation and self-assessment systems make SPM transparent to the user.
A Training Procedure for the Assessment of Subjective Probability Distributions
Foundations of Risk Analysis
Author: Terje Aven
Publisher: John Wiley & Sons
ISBN: 1119966973
Category : Mathematics
Languages : en
Pages : 245
Book Description
Foundations of Risk Analysis presents the issues core to risk analysis – understanding what risk means, expressing risk, building risk models, addressing uncertainty, and applying probability models to real problems. The author provides the readers with the knowledge and basic thinking they require to successfully manage risk and uncertainty to support decision making. This updated edition reflects recent developments on risk and uncertainty concepts, representations and treatment. New material in Foundations of Risk Analysis includes: An up to date presentation of how to understand, define and describe risk based on research carried out in recent years. A new definition of the concept of vulnerability consistent with the understanding of risk. Reflections on the need for seeing beyond probabilities to measure/describe uncertainties. A presentation and discussion of a method for assessing the importance of assumptions (uncertainty factors) in the background knowledge that the subjective probabilities are based on A brief introduction to approaches that produce interval (imprecise) probabilities instead of exact probabilities. In addition the new version provides a number of other improvements, for example, concerning the use of cost-benefit analyses and the As Low As Reasonably Practicable (ALARP) principle. Foundations of Risk Analysis provides a framework for understanding, conducting and using risk analysis suitable for advanced undergraduates, graduates, analysts and researchers from statistics, engineering, finance, medicine and the physical sciences, as well as for managers facing decision making problems involving risk and uncertainty.
Publisher: John Wiley & Sons
ISBN: 1119966973
Category : Mathematics
Languages : en
Pages : 245
Book Description
Foundations of Risk Analysis presents the issues core to risk analysis – understanding what risk means, expressing risk, building risk models, addressing uncertainty, and applying probability models to real problems. The author provides the readers with the knowledge and basic thinking they require to successfully manage risk and uncertainty to support decision making. This updated edition reflects recent developments on risk and uncertainty concepts, representations and treatment. New material in Foundations of Risk Analysis includes: An up to date presentation of how to understand, define and describe risk based on research carried out in recent years. A new definition of the concept of vulnerability consistent with the understanding of risk. Reflections on the need for seeing beyond probabilities to measure/describe uncertainties. A presentation and discussion of a method for assessing the importance of assumptions (uncertainty factors) in the background knowledge that the subjective probabilities are based on A brief introduction to approaches that produce interval (imprecise) probabilities instead of exact probabilities. In addition the new version provides a number of other improvements, for example, concerning the use of cost-benefit analyses and the As Low As Reasonably Practicable (ALARP) principle. Foundations of Risk Analysis provides a framework for understanding, conducting and using risk analysis suitable for advanced undergraduates, graduates, analysts and researchers from statistics, engineering, finance, medicine and the physical sciences, as well as for managers facing decision making problems involving risk and uncertainty.