Judgment in Predictive Analytics

Éditeur :

Springer

Paru le : 2023-06-02

This book highlights research on the behavioral biases affecting judgmental accuracy in judgmental forecasting and showcases the state-of-the-art in judgment-based predictive analytics. In recent years, technological advancements have made it possible to use predictive analytics to exploit highly co...
Voir tout
Ce livre est accessible aux handicaps Voir les informations d'accessibilité
Ebook téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Compatible lecture en ligne (streaming)
168,79
Ajouter à ma liste d'envies
Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

À propos


Éditeur

Collection
n.c

Parution
2023-06-02

Pages
313 pages

EAN papier
9783031300844

Auteur(s) du livre


Matthias Seifert is an Associate Professor of Decision Sciences in the Operations and Technology area at IE University. Prior to joining IE, he was affiliated with the London Business School, Cambridge University, and the London School of Economics and Political Science. Dr. Seifert’s research focuses on decision making under risk and uncertainty and managerial forecasting. His work has been published in top academic journals including Management Science, Organizational Behavior and Human Decision Processes, Journal of Operations Management, Nature Human Behavior, Personality and Social Psychology Bulletin (and others) as well as in practitioner outlets such as Harvard Business Review and MIT Sloan Management Review. Dr. Seifert is an Associate Editor at the International Journal of Forecasting and serves on the editorial board of outlets including Organizational Behavior and Human Decision Processes and Decision Analysis. His research has been featured by public media including Forbes India, Ideas for Leaders, CBS News, the Financial Times International (“Professor of the Week”), Psychology Today and others. In 2016, he has been named as one of “The Best 40 Under 40 Business School Professors” by Poets & Quants.

Caractéristiques détaillées - droits

EAN PDF
9783031300851
Prix
168,79 €
Nombre pages copiables
3
Nombre pages imprimables
31
Taille du fichier
8223 Ko
EAN EPUB
9783031300851
Prix
168,79 €
Nombre pages copiables
3
Nombre pages imprimables
31
Taille du fichier
9769 Ko

Suggestions personnalisées