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Features
Covers approaches for making decisions under certainty, risk, and uncertainty
Illustrates expected utility theory and its extensions
Describes approaches to elicit the utility function
Reviews classical and Bayesian approaches to statistical inference based on decision theory
Discusses the role of causal analysis in statistical decision theory
Features
Covers approaches for making decisions under certainty, risk, and uncertainty
Illustrates expected utility theory and its extensions
Describes approaches to elicit the utility function
Reviews classical and Bayesian approaches to statistical inference based on decision theory
Discusses the role of causal analysis in statistical decision theory
Silvia Bacci is Assistant Professor of Statistics at the Department of Statistics, Computer Science and Applications "G. Parenti", University of Florence (Italy). Her research interests are addressed to statistical decision theory, with focus on utility theory, and latent variable models, with focus on item response theory models, latent class models, and models for longitudinal and multilevel data.
Bruno Chiandotto is adjunct Full Professor of Statistics at the Department of Statistics, Computer Science and Applications "G. Parenti", University of Florence (Italy). He is mainly interested in the definition and estimation of linear and nonlinear statistical models, multivariate data analysis, customer satisfaction, causal analysis, statistical decision theory and utility theory. A large part of his research activity has been carried out under projects funded by international, national and local institutions.
1. Statistics and decisions 2. Probability and statistical inference 3. Utility theory 4. Utility function elicitation 5. Classical and bayesian statistical decision theory 6. Statistics, causality, and decisions
Erscheinungsjahr: | 2021 |
---|---|
Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Importe, Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
ISBN-13: | 9781032091754 |
ISBN-10: | 1032091754 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Bacci, Silvia
Chiandotto, Bruno |
Hersteller: | Chapman and Hall/CRC |
Verantwortliche Person für die EU: | Books on Demand GmbH, In de Tarpen 42, D-22848 Norderstedt, info@bod.de |
Maße: | 234 x 156 x 16 mm |
Von/Mit: | Silvia Bacci (u. a.) |
Erscheinungsdatum: | 30.06.2021 |
Gewicht: | 0,465 kg |
Silvia Bacci is Assistant Professor of Statistics at the Department of Statistics, Computer Science and Applications "G. Parenti", University of Florence (Italy). Her research interests are addressed to statistical decision theory, with focus on utility theory, and latent variable models, with focus on item response theory models, latent class models, and models for longitudinal and multilevel data.
Bruno Chiandotto is adjunct Full Professor of Statistics at the Department of Statistics, Computer Science and Applications "G. Parenti", University of Florence (Italy). He is mainly interested in the definition and estimation of linear and nonlinear statistical models, multivariate data analysis, customer satisfaction, causal analysis, statistical decision theory and utility theory. A large part of his research activity has been carried out under projects funded by international, national and local institutions.
1. Statistics and decisions 2. Probability and statistical inference 3. Utility theory 4. Utility function elicitation 5. Classical and bayesian statistical decision theory 6. Statistics, causality, and decisions
Erscheinungsjahr: | 2021 |
---|---|
Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Importe, Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
ISBN-13: | 9781032091754 |
ISBN-10: | 1032091754 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Bacci, Silvia
Chiandotto, Bruno |
Hersteller: | Chapman and Hall/CRC |
Verantwortliche Person für die EU: | Books on Demand GmbH, In de Tarpen 42, D-22848 Norderstedt, info@bod.de |
Maße: | 234 x 156 x 16 mm |
Von/Mit: | Silvia Bacci (u. a.) |
Erscheinungsdatum: | 30.06.2021 |
Gewicht: | 0,465 kg |