Leseprobe
* Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.
Simplicity, Complexity and Modelling
Philip Dawid (Hrsg.), Stephen S. Senn (Hrsg.), Andrew Cliffe (Hrsg.), Mike Christie (Hrsg.)
* Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.
Naturwissenschaften, Medizin, Informatik, Technik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik
Beschreibung
Several points of disagreement exist between different modelling traditions as to whether complex models are always better than simpler models, as to how to combine results from different models and how to propagate model uncertainty into forecasts. This book represents the result of collaboration between scientists from many disciplines to show how these conflicts can be resolved. Key Features: * Introduces important concepts in modelling, outlining different traditions in the use of simple and complex modelling in statistics. * Provides numerous case studies on complex modelling, such as climate change, flood risk and new drug development. * Concentrates on varying models, including flood risk analysis models, the petrol industry forecasts and summarizes the evolution of water distribution systems. * Written by experienced statisticians and engineers in order to facilitate communication between modellers in different disciplines. * Provides a glossary giving terms commonly used in different modelling traditions. This book provides a much-needed reference guide to approaching statistical modelling. Scientists involved with modelling complex systems in areas such as climate change, flood prediction and prevention, financial market modelling and systems engineering will benefit from this book. It will also be a useful source of modelling case histories.
Rezensionen
"
(International Statistical Review, 1 December 2012)
Kundenbewertungen
Statistics for Finance, Business & Economics, Statistik, Finanz- u. Wirtschaftsstatistik, Angewandte Wahrscheinlichkeitsrechnung u. Statistik, Statistics, Angew. Wahrscheinlichkeitsrechn. u. Statistik / Modelle, Applied Probability & Statistics, Applied Probability & Statistics - Models