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                                       Details for article 17 of 22 found articles
 
 
  On borrowing spread from auxiliary samples in the one-sample problem
 
 
Title: On borrowing spread from auxiliary samples in the one-sample problem
Author: Horn, Paul S.
Appeared in: Communications in statistics
Paging: Volume 14 (1985) nr. 12 pages 3107-3124
Year: 1985
Contents: This study is concerned with the one-sample problem and the notion of how to use (borrow) information contained in one or more auxiliary samples. A variety of t-statistics and borrowning schemes is used to shed light on this area. It is found that if the data do not come from a Gaussian distribution then the traditional method of borrowing by root-mean-square need not be the best thing to do. (In fact, for Student's t-statistic it is never the best thing to do.) it is also shown that if one borrows wisely, substantial gains can be made for small sample sizes. Finally, if one places a premium on computational ease, then there are simple procedures that can do reasonably well under a variety of circumstances.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 17 of 22 found articles
 
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