Foundations of Statistics: Epistemology, Inductive inference, Bayesian inference, Frequentist inference, Ronald Fisher, Egon Pearson, Likelihood principle, Robert P. Abelson - Couverture souple

Couverture souple

ISBN 10 : 6133841710 ISBN 13 : 9786133841710

Editeur : Alphascript Publishing, 2010

Synopsis

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Foundations of statistics is the usual name for the epistemological debate over how one should conduct inductive inference from data. Among issues considered are the question of Bayesian inference versus frequentist inference, the distinction between Fisher''s significance testing" and Neyman- Pearson "hypothesis testing", and whether the likelihood principle should be followed. Some of these issues have been debated for up to 200 years without resolution. For a short introduction to the foundations of statistics, see ch. 6 of Kendall''s Advanced Theory of Statistics. In his book Statistics As Principled Argument, Robert P. Abelson articulates the position that statistics serves as a standardized means of settling disputes between scientists who could otherwise each argue the merits of their own positions ad infinitum. From this point of view, statistics is a form of rhetoric as with any means of settling disputes, statistical methods can succeed only as long as all parties agree on the approach used"

Détails de l'édition

• Éditeur: Alphascript Publishing
• Date d'édition: 2010
• Langue: anglais
• ISBN 10: 6133841710
• ISBN 13: 9786133841710
• Reliure: Broché
• Nombre de pages: 64
• Éditeur: Miller Frederic P., Vandome Agnes F., McBrewster John
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible