Nadaraya Èlizbar A

Publications in Math-Net.Ru

1. On one nonparametric estimate of the Poisson regression function
   
   Teor. Veroyatnost. i Primenen., 69:2 (2024),  218–232
2. On a new estimation method of the Bernoulli regression function
   
   Teor. Veroyatnost. i Primenen., 67:2 (2022),  209–222
3. On one homogeneity test based on quadratic deviations between kernel estimators of a distribution density in $p\geq 2$ independent samples
   
   Teor. Veroyatnost. i Primenen., 63:4 (2018),  654–668
4. On the integral square deviation of one nonparametric estimation of the Bernoulli regession
   
   Teor. Veroyatnost. i Primenen., 57:2 (2012),  322–336
5. On some goodness-of-fit tests based on kernel density estimates
   
   Teor. Veroyatnost. i Primenen., 54:2 (2009),  359–367
6. The limit distribution of the quadratic deviation of two non-parametric estimators of projection type of a regression function
   
   Uspekhi Mat. Nauk, 57:5(347) (2002),  143–144
7. On Limit Distribution for Quadratic Deviation of Generalized Kernel Estimates of a Density
   
   Teor. Veroyatnost. i Primenen., 37:2 (1992),  413–421
8. On a quadratic measure of the deviation of projection density estimates
   
   Teor. Veroyatnost. i Primenen., 21:4 (1976),  864–871
9. On the integral mean squared error of some non-parametric estimates of the probability density
   
   Teor. Veroyatnost. i Primenen., 19:1 (1974),  131–139
10. On convergence in the $L_2$-norm of probability density estimates
    
    Teor. Veroyatnost. i Primenen., 18:4 (1973),  853–856
11. Remarks on non-parametric estimates of density functions and regression curves
    
    Teor. Veroyatnost. i Primenen., 15:1 (1970),  139–142
12. On Non-Parametric Estimates of Density Functions and Regression Curves
    
    Teor. Veroyatnost. i Primenen., 10:1 (1965),  199–203
13. Some New Estimates of Distribution Functions
    
    Teor. Veroyatnost. i Primenen., 9:3 (1964),  550–554
14. On Estimating Regression
    
    Teor. Veroyatnost. i Primenen., 9:1 (1964),  157–159