ISBN 0521839718. Hardback. No dustjacket. Bound in Pictorial Boards. Near Fine condition. Tight bright attractive copy with no markings to the book. As new condition. This book is Essentials of Statistical Inference (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 16).

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D�tails bibliographiques

Titre

Essentials Of Statistical Inference (Cambridge Series In Statistical And Probabilistic Mathematics, Series Number 16)

�diteur

Cambridge University Press; Illustrated edition (July 25, 2005)

Date de parution

2005

ISBN � 10 chiffres

0521839718

ISBN � 13 chiffres

9780521839716

Reliure

Hardcover

�dition

First Edition.

�tat de l'article

Very Good

�tat de la jaquette

No Dustjacket

Sign�

No Signature

Catalogues du vendeur

Mathematics

A propos de ce titre

Synopsis

Aimed at advanced undergraduate and graduate students in mathematics and related disciplines, this book presents the concepts and results underlying the Bayesian, frequentist and Fisherian approaches, with particular emphasis on the contrasts between them. Computational ideas are explained, as well as basic mathematical theory. Written in a lucid and informal style, this concise text provides both basic material on the main approaches to inference, as well as more advanced material on developments in statistical theory, including: material on Bayesian computation, such as MCMC, higher-order likelihood theory, predictive inference, bootstrap methods and conditional inference. It contains numerous extended examples of the application of formal inference techniques to real data, as well as historical commentary on the development of the subject. Throughout, the text concentrates on concepts, rather than mathematical detail, while maintaining appropriate levels of formality. Each chapter ends with a set of accessible problems.

� propos des auteurs

G. A. Young is Professor of Statistics at Imperial College London.

R. L. Smith is Mark L. Reed Distinguished Professor of Statistics at the University of North Carolina, Chapel Hill.

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