Chi-squared test for testing of homogeneity
    
    
  
  
  
      
      
      
        
Zapiski Nauchnykh Seminarov POMI, Probability and statistics. Part 30, Tome 501 (2021), pp. 160-180
    
  
  
  
  
  
    
      
      
        
      
      
      
    Voir la notice de l'article provenant de la source Math-Net.Ru
            
              			We provide necessary and sufficient conditions of uniform consistency of nonparametric sets of alternatives of chi-squared test for testing of hypothesis of homogeneity. The number of cells of chi-squared test increases with sample size growth. Nonparametric sets of alternatives can be defined both in terms of densities and distribution functions.
			
            
            
            
          
        
      @article{ZNSL_2021_501_a10,
     author = {M. S. Ermakov},
     title = {Chi-squared test for testing of homogeneity},
     journal = {Zapiski Nauchnykh Seminarov POMI},
     pages = {160--180},
     publisher = {mathdoc},
     volume = {501},
     year = {2021},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/ZNSL_2021_501_a10/}
}
                      
                      
                    M. S. Ermakov. Chi-squared test for testing of homogeneity. Zapiski Nauchnykh Seminarov POMI, Probability and statistics. Part 30, Tome 501 (2021), pp. 160-180. http://geodesic.mathdoc.fr/item/ZNSL_2021_501_a10/