Understanding Statistics and Experimental Design: How to Not Lie with Statistics - Couverture souple

Herzog, Michael H.; Francis, Gregory; Clarke, Aaron

Couverture souple

ISBN 10 : 3030034984 ISBN 13 : 9783030034986

Editeur : Springer Nature Switzerland AG, 2019

Synopsis

This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate.

A propos du livre

À propos de l?auteur

Michael Herzog is a professor at the EPFL in Switzerland. He studied Mathematics, Biology, and Philosophy at the Universities of Erlangen, Tübingen, and MIT. His primary area of research is the field of vision using all sorts of experimental designs including psychophysical methods, TMS, EEG, and mathematical modeling.

Greg Francis is a professor of Psychological Sciences at Purdue University. His primary area of research develops and tests computational neural network models of human visual perception. A secondary area of interest explores how to identify faulty uses of statistics, such as publication bias and questionable research practices. He also applies cognitive models to topics in human factors and develops on-line teaching tools.

Aaron Clarke is a professor at Bilkent University. He is a psychologist by training with a special emphasis on computational neuroscience and statistics.

Détails de l'édition

• Éditeur: Springer Nature Switzerland AG
• Date d'édition: 2019
• Langue: anglais
• ISBN 10: 3030034984
• ISBN 13: 9783030034986
• Reliure: Broché
• Nombre de pages: 153
• Coordonnées du fabricant: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Allemagne