Statistical Decision Theory

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Éditeur :

Springer


Collection :

SpringerBriefs in Statistics

Paru le : 2013-10-17

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Description

This monograph presents a radical rethinking of how elementary inferences should be made in statistics, implementing a comprehensive alternative to hypothesis testing in which the control of the probabilities of the errors is replaced by selecting the course of action (one of the available options) associated with the smallest expected loss.
Its strength is that the inferences are responsive to the elicited or declared consequences of the erroneous decisions, and so they can be closely tailored to the client’s perspective, priorities, value judgments and other prior information, together with the uncertainty about them.
Pages
124 pages
Collection
SpringerBriefs in Statistics
Parution
2013-10-17
Marque
Springer
EAN papier
9783642404320
EAN EPUB
9783642404337

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
12
Taille du fichier
2181 Ko
Prix
52,74 €