The Experts below are selected from a list of 517533 Experts worldwide ranked by ideXlab platform
Shahram Sarkani - One of the best experts on this subject based on the ideXlab platform.
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The effect of the number of seed variables on the performance of Cooke′s Classical Model
Reliability Engineering & System Safety, 2014Co-Authors: Justin W. Eggstaff, Thomas A. Mazzuchi, Shahram SarkaniAbstract:Abstract In risk analysis, Cooke′s Classical Model for aggregating expert judgment has been widely used for over 20 years. However, the validity of this Model has been the subject of much debate. Critics assert that this Model′s scoring rule may unintentionally reward experts who manipulate their quantile estimates in order to receive a greater weight. In addition, the question of the number of seed variables required to ensure adequate performance of Cooke′s Classical Model remains unanswered. In this study, we conduct a comprehensive examination of the Model through an iterative, cross validation test to perform an out-of-sample comparison between Cooke′s Classical Model and the equal-weight linear opinion pool method on almost all of the expert judgment studies compiled by Cooke and colleagues to date. Our results indicate that Cooke′s Classical Model significantly outperforms equally weighting expert judgment, regardless of the number of seed variables used; however, there may, in fact, be a maximum number of seed variables beyond which Cooke′s Model cannot outperform an equally-weighted panel.
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the effect of the number of seed variables on the performance of cooke s Classical Model
Reliability Engineering & System Safety, 2014Co-Authors: Justin W. Eggstaff, Thomas A. Mazzuchi, Shahram SarkaniAbstract:Abstract In risk analysis, Cooke′s Classical Model for aggregating expert judgment has been widely used for over 20 years. However, the validity of this Model has been the subject of much debate. Critics assert that this Model′s scoring rule may unintentionally reward experts who manipulate their quantile estimates in order to receive a greater weight. In addition, the question of the number of seed variables required to ensure adequate performance of Cooke′s Classical Model remains unanswered. In this study, we conduct a comprehensive examination of the Model through an iterative, cross validation test to perform an out-of-sample comparison between Cooke′s Classical Model and the equal-weight linear opinion pool method on almost all of the expert judgment studies compiled by Cooke and colleagues to date. Our results indicate that Cooke′s Classical Model significantly outperforms equally weighting expert judgment, regardless of the number of seed variables used; however, there may, in fact, be a maximum number of seed variables beyond which Cooke′s Model cannot outperform an equally-weighted panel.
Ulrich Rössler - One of the best experts on this subject based on the ideXlab platform.
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Classical Model of a Wigner crystal in a quantum dot
Superlattices and Microstructures, 1993Co-Authors: F. Bolton, Ulrich RösslerAbstract:Abstract A Classical Model of a Wigner crystal in a quantum dot is developed where the electrons are treated as point charges. For small clusters of electrons, the ground state is found to have a regular shell-like structure. A feature of the Model is the existence of alternative metastable configurations with a slightly higher energy than the ground state.
Justin W. Eggstaff - One of the best experts on this subject based on the ideXlab platform.
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The effect of the number of seed variables on the performance of Cooke′s Classical Model
Reliability Engineering & System Safety, 2014Co-Authors: Justin W. Eggstaff, Thomas A. Mazzuchi, Shahram SarkaniAbstract:Abstract In risk analysis, Cooke′s Classical Model for aggregating expert judgment has been widely used for over 20 years. However, the validity of this Model has been the subject of much debate. Critics assert that this Model′s scoring rule may unintentionally reward experts who manipulate their quantile estimates in order to receive a greater weight. In addition, the question of the number of seed variables required to ensure adequate performance of Cooke′s Classical Model remains unanswered. In this study, we conduct a comprehensive examination of the Model through an iterative, cross validation test to perform an out-of-sample comparison between Cooke′s Classical Model and the equal-weight linear opinion pool method on almost all of the expert judgment studies compiled by Cooke and colleagues to date. Our results indicate that Cooke′s Classical Model significantly outperforms equally weighting expert judgment, regardless of the number of seed variables used; however, there may, in fact, be a maximum number of seed variables beyond which Cooke′s Model cannot outperform an equally-weighted panel.
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the effect of the number of seed variables on the performance of cooke s Classical Model
Reliability Engineering & System Safety, 2014Co-Authors: Justin W. Eggstaff, Thomas A. Mazzuchi, Shahram SarkaniAbstract:Abstract In risk analysis, Cooke′s Classical Model for aggregating expert judgment has been widely used for over 20 years. However, the validity of this Model has been the subject of much debate. Critics assert that this Model′s scoring rule may unintentionally reward experts who manipulate their quantile estimates in order to receive a greater weight. In addition, the question of the number of seed variables required to ensure adequate performance of Cooke′s Classical Model remains unanswered. In this study, we conduct a comprehensive examination of the Model through an iterative, cross validation test to perform an out-of-sample comparison between Cooke′s Classical Model and the equal-weight linear opinion pool method on almost all of the expert judgment studies compiled by Cooke and colleagues to date. Our results indicate that Cooke′s Classical Model significantly outperforms equally weighting expert judgment, regardless of the number of seed variables used; however, there may, in fact, be a maximum number of seed variables beyond which Cooke′s Model cannot outperform an equally-weighted panel.
F. Bolton - One of the best experts on this subject based on the ideXlab platform.
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Classical Model of a Wigner crystal in a quantum dot
Superlattices and Microstructures, 1993Co-Authors: F. Bolton, Ulrich RösslerAbstract:Abstract A Classical Model of a Wigner crystal in a quantum dot is developed where the electrons are treated as point charges. For small clusters of electrons, the ground state is found to have a regular shell-like structure. A feature of the Model is the existence of alternative metastable configurations with a slightly higher energy than the ground state.
Thomas A. Mazzuchi - One of the best experts on this subject based on the ideXlab platform.
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The effect of the number of seed variables on the performance of Cooke′s Classical Model
Reliability Engineering & System Safety, 2014Co-Authors: Justin W. Eggstaff, Thomas A. Mazzuchi, Shahram SarkaniAbstract:Abstract In risk analysis, Cooke′s Classical Model for aggregating expert judgment has been widely used for over 20 years. However, the validity of this Model has been the subject of much debate. Critics assert that this Model′s scoring rule may unintentionally reward experts who manipulate their quantile estimates in order to receive a greater weight. In addition, the question of the number of seed variables required to ensure adequate performance of Cooke′s Classical Model remains unanswered. In this study, we conduct a comprehensive examination of the Model through an iterative, cross validation test to perform an out-of-sample comparison between Cooke′s Classical Model and the equal-weight linear opinion pool method on almost all of the expert judgment studies compiled by Cooke and colleagues to date. Our results indicate that Cooke′s Classical Model significantly outperforms equally weighting expert judgment, regardless of the number of seed variables used; however, there may, in fact, be a maximum number of seed variables beyond which Cooke′s Model cannot outperform an equally-weighted panel.
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the effect of the number of seed variables on the performance of cooke s Classical Model
Reliability Engineering & System Safety, 2014Co-Authors: Justin W. Eggstaff, Thomas A. Mazzuchi, Shahram SarkaniAbstract:Abstract In risk analysis, Cooke′s Classical Model for aggregating expert judgment has been widely used for over 20 years. However, the validity of this Model has been the subject of much debate. Critics assert that this Model′s scoring rule may unintentionally reward experts who manipulate their quantile estimates in order to receive a greater weight. In addition, the question of the number of seed variables required to ensure adequate performance of Cooke′s Classical Model remains unanswered. In this study, we conduct a comprehensive examination of the Model through an iterative, cross validation test to perform an out-of-sample comparison between Cooke′s Classical Model and the equal-weight linear opinion pool method on almost all of the expert judgment studies compiled by Cooke and colleagues to date. Our results indicate that Cooke′s Classical Model significantly outperforms equally weighting expert judgment, regardless of the number of seed variables used; however, there may, in fact, be a maximum number of seed variables beyond which Cooke′s Model cannot outperform an equally-weighted panel.