Type(s) de contenu et mode(s) de consultation : Texte noté : électronique

Titre(s) : Philosophy of statistics [Texte électronique] / edited by Prasanta S. Bandyopadhyay, Malcolm R. Forster

Publication : Amsterdam ; Boston : Elsevier/North-Holland, 2011

Description matérielle : 1 ressource dématérialisée

Collection : Handbook of philosophy of science ; v. 7

Note(s) : Bibliogr
Statisticians and philosophers of science have many common interests but restricted communication with each other. This volume aims to remedy these shortcomings. It provides state-of-the-art research in the area of Philosophy of Statistics by encouraging numerous experts to communicate with one another without feeling "restricted" by their disciplines or thinking "piecemeal" in their treatment of issues. A second goal of this book is to present work in the field without bias toward any particular statistical paradigm. Broadly speaking, the essays in this Handbook are concerned with problems of induction, statistics and probability. For centuries, foundational problems like induction have been among philosophers' favorite topics; recently, however, non-philosophers have increasingly taken a keen interest in these issues. This volume accordingly contains papers by both philosophers and non-philosophers, including scholars from nine academic disciplines. Provides a bridge between philosophy and current scientific findings Covers theory and applications Encourages multi-disciplinary dialogue.--[Source inconnue]

Autre(s) auteur(s) : Bandyopadhyay, Prasanta S.. Fonction indéterminée  Voir les notices liées en tant qu'auteur
Forster, Malcolm R.. Fonction indéterminée  Voir les notices liées en tant qu'auteur

Sujet(s) : Statistique  Voir les notices liées en tant que sujet

Identifiants, prix et caractéristiques : ISBN 9780444518620

Identifiant de la notice  : ark:/12148/cb44646671h

Notice n° :  FRBNF44646671 (notice reprise d'un réservoir extérieur)

Table des matières : Probability & statistics ; Philosophical controversies about conditional probability ; Four paradigns of statistics ; Likelihood principle ; Recent advances in model selection ; Attempts to understand different aspects of "randomness" ; Probabilistics and statistical paradoxes ; Statistics and inductive inference ; Various issues about causal inference ; Some philosophical issues concerning statistical learning theory ; Different approaches to simplicity related to inference and truth ; Special problems in statistics/computer science ; An application of statistics to climate change ; Historical approaches to probability/statistics.