Digital Library
Close Browse articles from a journal
 
<< previous    next >>
     Journal description
       All volumes of the corresponding journal
         All issues of the corresponding volume
           All articles of the corresponding issues
                                       Details for article 11 of 28 found articles
 
 
  Bootstrapping in least absolute value regression: an application to hypothesis testing
 
 
Title: Bootstrapping in least absolute value regression: an application to hypothesis testing
Author: Dielman, Terry E.
Pfaffenberger, Roger C.
Appeared in: Communications in statistics
Paging: Volume 17 (1988) nr. 3 pages 843-856
Year: 1988
Contents: A Monte Carlo simulation is used to study the performance of hypothesis tests for regression coefficients when least absolute value regression methods are used. In small samples, the results of the simulation suggest that using the bootstrap method to compute standard errors will provide improved test performance
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 11 of 28 found articles
 
<< previous    next >>
 
 Koninklijke Bibliotheek - National Library of the Netherlands