Statistical decision theory : foundations, concepts and methods / James O. Berger.
Tipo de material: TextoSeries Springer series in statisticsDetalles de publicación: New York, N.Y. : Springer-Verlag, c1980Descripción: xii, 425 pTema(s): Clasificación CDD:- 519.542
Tipo de ítem | Biblioteca actual | Signatura topográfica | Estado | Fecha de vencimiento | Código de barras | |
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Libro | Biblioteca Manuel Belgrano | 519.542 B 33632 (Navegar estantería(Abre debajo)) | Disponible | 33632 |
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Bibliografía: 405-410.
Decision theory is the science of making optimal decisions in the face of uncertainty. Statistical decision theory is concerned with the making of decisions when in the presence of statistical knowledge (data) which sheds light on some of the uncertainties involved in the decision problem. The generality of these definitions is such that decision theory (dropping the qualifier ‘statistical’ for convenience) formally encompasses an enormous range of problems and disciplines. Any attempt at a general review of decision theory is thus doomed; all that can be done is to present a description of some of the underlying ideas.
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