Behavioral social choice : probabilistic models, statistical inference, and applications
✍ Scribed by Regenwetter, Michel
- Publisher
- Cambridge University Press
- Year
- 2006
- Tongue
- English
- Leaves
- 211
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
In this volume, while looking at the probabilistic foundations of collective decision-making rules, the authors challenge much of the existing theoretical wisdom about social choice processes, and seek to restore faith in the possibility of democratic decision making. In particular, they argue that worries about the supposed prevalence of majority rule cycles that would preclude groups from reaching a final decision about what alternative they prefer have been greatly overstated. In practice, majority rule can be expected to work well in most real-world settings. They provide new insights into how alternative model specifications can change our estimates of social orderings.
✦ Subjects
Social choice -- Mathematical models;Decision making -- Mathematical models;Voting -- Mathematical models;Probabilities -- Mathematical models;Choix collectif -- Modèles mathématiques;Prise de décision -- Modèles mathématiques;Probabilités -- Modèles mathématiques;Vote -- Modèles mathématiques;Entscheidungsfindung;Kollektiventscheidung;Mathematisches Modell;Public-Choice-Theorie;Stochastisches Modell;Wahl
📜 SIMILAR VOLUMES
Pt. I. Degradation analysis, multi-state and continuous-state system reliability -- pt. II. Networks and large-scale systems -- pt. III. Maintenance models -- pt. IV. Statistical inference in reliability -- pt. V. Systemability, physics-of-failure and reliability demonstration.;"This book presents t
"This book presents the latest developments in the field of reliability science focusing on applied reliability, probabilistic models and risk analysis. It provides readers with the most up-to-date developments in this field and consolidates research activities in several areas of applied reliabilit
This book provides a complete coverage to GARCH modeling, including probability properties, identifying an appropriate model, estimation and testing, multivariate extensions including EGARCH, TGARCH and APGARCH, volatility features such as asymmetries and financial applications. <p> Many secti
This book provides a comprehensive and systematic approach to understanding GARCH time series models and their applications whilst presenting the most advanced results concerning the theory and practical aspects of GARCH. The probability structure of standard GARCH models is studied in detail as wel
Provides a comprehensive and updated study of GARCH models and their applications in finance, covering new developments in the disciplineThis book provides a comprehensive and systematic approach to understanding GARCH time series models and their applications whilst presenting the most advanced res