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                                       Details for article 12 of 18 found articles
 
 
  Quality of the log transformation for an incorrectly assumed error structure
 
 
Title: Quality of the log transformation for an incorrectly assumed error structure
Author: Krehbiel, Timothy C.
Jobe, J. Marcus
Appeared in: Communications in statistics
Paging: Volume 27 (1998) nr. 3 pages 605-616
Year: 1998
Contents: A log transformation is often applied to nonlinear models with an assumed multiplicative error structure. Then the parameters are estimated using ordinary least squares (o. l. s. ) and back transformed predictions made. This paper examines the bias involved with this procedure when the actual error structure is additive and not multiplicative, A correction factor is introduced to help reduce the bias when the back transformed o. l. s. approach is used. We strongly suggest, however, that one should use nonlinear least squares when the analyst believes he is working with an additive error structure.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 12 of 18 found articles
 
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