Scharfenaker Ellis (17 results)
- Softcover
Seller: Books From California, Simi Valley, CA, U.S.A.Books From California
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paperback. Condition: Very Good.
- Softcover
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
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- Softcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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Paperback. Condition: New. Conventional "frequentist" methods that dominate the field of statistics are generally inconsistent and liable to catastrophic failure in some contexts. These weaknesses have become particularly concerning in relation to crises of replicability and credibility in science. Two alternatives have been pro…posed to address these flaws-classical Bayesian inference and the principle of maximum entropy-but the connections between them remain controversial.Making Statistics Work presents a synthesis of information theory and Bayesian inference that addresses these fundamental problems. It provides a consistent, powerful, and flexible framework for data inference based on rigorous logic derived from first principles, allowing for new approaches to many of the unresolved questions of statistics. Duncan K. Foley and Ellis Scharfenaker illustrate the application of this framework and the reasoning behind it across a variety of important statistical problems, such as the inference underlying "gold standard" clinical trials, models of human behavior employed in behavioral finance and psychology, analysis of macroeconomic policy, the relationship of classical probability to quantum physics, and the limitations of linear regression analysis. Making Statistics Work offers new insight into contentious topics, from problems of causality and confounding variables in randomized experimental trials to the foundations of Bayesian and frequentist probability theory.
- Softcover
Seller: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA
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Paperback. Condition: New. Conventional "frequentist" methods that dominate the field of statistics are generally inconsistent and liable to catastrophic failure in some contexts. These weaknesses have become particularly concerning in relation to crises of replicability and credibility in science. Two alternatives have been pro…posed to address these flaws-classical Bayesian inference and the principle of maximum entropy-but the connections between them remain controversial.Making Statistics Work presents a synthesis of information theory and Bayesian inference that addresses these fundamental problems. It provides a consistent, powerful, and flexible framework for data inference based on rigorous logic derived from first principles, allowing for new approaches to many of the unresolved questions of statistics. Duncan K. Foley and Ellis Scharfenaker illustrate the application of this framework and the reasoning behind it across a variety of important statistical problems, such as the inference underlying "gold standard" clinical trials, models of human behavior employed in behavioral finance and psychology, analysis of macroeconomic policy, the relationship of classical probability to quantum physics, and the limitations of linear regression analysis. Making Statistics Work offers new insight into contentious topics, from problems of causality and confounding variables in randomized experimental trials to the foundations of Bayesian and frequentist probability theory.
- Softcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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- Softcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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paperback. Condition: New.
- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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- Softcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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£ 47.65
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Paperback. Condition: Brand New. 328 pages. 6.14x0.71x9.21 inches. In Stock.
- Softcover
Seller: Rarewaves USA United, HEBRON, KY, U.S.A.Rarewaves USA United
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£ 36.80
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Paperback. Condition: New. Conventional "frequentist" methods that dominate the field of statistics are generally inconsistent and liable to catastrophic failure in some contexts. These weaknesses have become particularly concerning in relation to crises of replicability and credibility in science. Two alternatives have been pro…posed to address these flaws-classical Bayesian inference and the principle of maximum entropy-but the connections between them remain controversial.Making Statistics Work presents a synthesis of information theory and Bayesian inference that addresses these fundamental problems. It provides a consistent, powerful, and flexible framework for data inference based on rigorous logic derived from first principles, allowing for new approaches to many of the unresolved questions of statistics. Duncan K. Foley and Ellis Scharfenaker illustrate the application of this framework and the reasoning behind it across a variety of important statistical problems, such as the inference underlying "gold standard" clinical trials, models of human behavior employed in behavioral finance and psychology, analysis of macroeconomic policy, the relationship of classical probability to quantum physics, and the limitations of linear regression analysis. Making Statistics Work offers new insight into contentious topics, from problems of causality and confounding variables in randomized experimental trials to the foundations of Bayesian and frequentist probability theory.
- Softcover
Seller: moluna, Greven, Germanymoluna
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- Softcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
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£ 32.38
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Paperback. Condition: New. Conventional "frequentist" methods that dominate the field of statistics are generally inconsistent and liable to catastrophic failure in some contexts. These weaknesses have become particularly concerning in relation to crises of replicability and credibility in science. Two alternatives have been pro…posed to address these flaws-classical Bayesian inference and the principle of maximum entropy-but the connections between them remain controversial.Making Statistics Work presents a synthesis of information theory and Bayesian inference that addresses these fundamental problems. It provides a consistent, powerful, and flexible framework for data inference based on rigorous logic derived from first principles, allowing for new approaches to many of the unresolved questions of statistics. Duncan K. Foley and Ellis Scharfenaker illustrate the application of this framework and the reasoning behind it across a variety of important statistical problems, such as the inference underlying "gold standard" clinical trials, models of human behavior employed in behavioral finance and psychology, analysis of macroeconomic policy, the relationship of classical probability to quantum physics, and the limitations of linear regression analysis. Making Statistics Work offers new insight into contentious topics, from problems of causality and confounding variables in randomized experimental trials to the foundations of Bayesian and frequentist probability theory.
- Hardcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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£ 179.33
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Hardcover. Condition: Brand New. 328 pages. 6.14x0.88x9.21 inches. In Stock.
- Softcover
- Print on Demand
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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£ 32.20
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Paperback. Condition: Brand New. 328 pages. 6.14x0.71x9.21 inches. In Stock. This item is printed on demand.
- Hardcover
- Print on Demand
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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£ 128.57
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Hardcover. Condition: Brand New. 328 pages. 6.14x0.88x9.21 inches. In Stock. This item is printed on demand.
