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                                       Details for article 16 of 22 found articles
 
 
  Influential observations in transformations: A bayesian approach
 
 
Title: Influential observations in transformations: A bayesian approach
Author: Velilla, S.
Appeared in: Communications in statistics
Paging: Volume 21 (1992) nr. 11 pages 3197-3209
Year: 1992
Contents: This paper presents a bayesian approach to the problem of detecting influential observations when estimating the Box-Cox transformation. The influence of a group I={i1, …,in} of observations is measured by means of the Kullback-Leibler distance between the marginal posterior; distributions for the transformation parameter which are computed, respectively, without and with the cases indexed by I. A measure is proposed and its properties and relationship to other diagnostic methods are studied.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 16 of 22 found articles
 
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