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                                       Details for article 4 of 13 found articles
 
 
  An Approximation for the Error of the Normal Approximation to a Linear Combination of Independently Distributed Random Variables
 
 
Title: An Approximation for the Error of the Normal Approximation to a Linear Combination of Independently Distributed Random Variables
Author: Shore, Haim
Appeared in: IIE transactions
Paging: Volume 20 (1988) nr. 3 pages 242-426
Year: 1988-09-01
Contents: A new approximation introduced elsewhere is employed to approximate the error associated with the central limit approximation. In particular, the respective error obtained on approximating a linear combination of n independently distributed random variables (Sn) is examined, and it is shown that the unstandardized error is approximately independent of n. Two examples, for a discrete and for a continuous Sn, demonstrate that if a correction term, based on the above error approximation, is added to the traditional central limit approximation a remarkable improvement of accuracy ensues. Some implications of the new approximation are probed.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 4 of 13 found articles
 
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