asymptotic robustness
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2016 ◽  
Vol 31 (4) ◽  
Author(s):  
Alexey Kharin

The problem of robustifying of the sequential probability ratio test is considered for a discrete hypothetical model. Exact values for error probabilities and for conditional expected sample sizes are obtained. Asymptotic robustness analysis for these characteristics is performed under “contaminations”. A two-parametric family of modified sequential probability ratio tests is proposed and analyzed to get the robust test by the minimax risk criterion. Numerical experiments illustrate the theoretical results.


2010 ◽  
Vol 20 (1) ◽  
pp. 1-41 ◽  
Author(s):  
Pierre L'Ecuyer ◽  
Jose H. Blanchet ◽  
Bruno Tuffin ◽  
Peter W. Glynn

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