• BI Statistical Methods by Peter Walley
  • BI Statistical Methods by Peter Walley-0
  • BI Statistical Methods by Peter Walley
  • BI Statistical Methods by Peter Walley-0
7497073233

BI Statistical Methods by Peter Walley

Brand:  Prescience Press

£110.04 
In-Stock
Estimated Delivery:  Tuesday 26 Nov - Sunday 01 Dec    to Mainland UK
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Product Description

In this groundbreaking work Peter Walley constructs and justifies a radically rational theory of statistical inference. He derives from fundamental principles new statistical methods that are coherent and objective and correct crucial failings of standard methods. Volume 1 presents the foundations and the general theory of statistical inference. Volume 2 applies the theory to derive practical methods for analysing common types of statistical data. The book unifies the wideranging highly original research produced by the author during 19802005 most of which has been unpublished until now. The methodology developed in the book provides a general systematic and coherent way to analyse statistical problems. The methods apply to all kinds of statistical problem and all types of data inference about parameters predictive inference and nonparametric inference informative or uninformative prior models point estimation interval estimation hypothesis testing density estimation and statistical decision problems. They also enable a unified treatment of robustness. The book should be of great interest to everyone who uses or studies statistical inference. The results have profound implications for a wide range of disciplines in which statistical methods are important including econometrics decision theory inductive logic philosophy of science psychology and clinical trials. show more

Condition : New

Author : Peter Walley

Weight : 1130

Publisher : Prescience Press

Language : English

EAN : 9780994439611

ISBN10 : 099443961X

Format : Hardback

Date of Publication : 19910912

Place of Publication : United States

Pagination : 442 Pages 55 Illustrations

Dimensions : 188 X 264 X 30

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