On tests for distinguishing distribution tails
    
    
  
  
  
      
      
      
        
Teoriâ veroâtnostej i ee primeneniâ, Tome 66 (2021) no. 3, pp. 433-453
    
  
  
  
  
  
    
      
      
        
      
      
      
    Voir la notice de l'article provenant de la source Math-Net.Ru
            
              			We propose a test procedure for distinguishing between two separable classes of arbitrary
 distribution
tails and, moreover, prove its consistency. The method is based on the goodness-of-fit test
 for an arbitrary distribution tail, and properties of this test are also discussed.
  This is the first goodness-of-fit test for distribution tails proposed in the literature
   that can be applied for testing
the goodness-of-fit hypothesis with a discrete distribution tail. In contrast to the
overwhelming majority of works related to statistics of extremes, we do not assume that
 the distributions belong to any of maximum domains of attraction.
			
            
            
            
          
        
      
                  
                    
                    
                    
                    
                    
                      
Keywords: 
discrimination test, statistics of extremes, goodness-of-fit test
Mots-clés : distribution tail.
                    
                  
                
                
                Mots-clés : distribution tail.
@article{TVP_2021_66_3_a1,
     author = {N. S. Kogut and I. V. Rodionov},
     title = {On tests for distinguishing distribution tails},
     journal = {Teori\^a vero\^atnostej i ee primeneni\^a},
     pages = {433--453},
     publisher = {mathdoc},
     volume = {66},
     number = {3},
     year = {2021},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/TVP_2021_66_3_a1/}
}
                      
                      
                    N. S. Kogut; I. V. Rodionov. On tests for distinguishing distribution tails. Teoriâ veroâtnostej i ee primeneniâ, Tome 66 (2021) no. 3, pp. 433-453. http://geodesic.mathdoc.fr/item/TVP_2021_66_3_a1/
