| Edição |
Seção |
Título |
Arquivo |
| Volume 15, Nº 1 (2014) |
Articles |
Dependence of the regression estimator properties of a probability density on singularities of its synthesis technique |
(Rus)
|
| Volume 15, Nº 1 (2014) |
Articles |
Nonparametric estimation of regression curves in the conditions of large samples |
(Rus)
|
| Volume 10, Nº 2 (2009) |
Articles |
HYBRID ALGORITHM OF PATTERN RECOGNITION AND ITS PROPER TIES |
(Rus)
|
| Volume 11, Nº 2 (2010) |
Articles |
ANALYSIS OF PROPERTIES OF MIXTURE OF NONPARAMETRIC ESTIMATIONSOF A PROBABILITY DENSITY OF A MULTIDIMENSIONAL RANDOM VARIABLE |
(Rus)
|
| Volume 12, Nº 2 (2011) |
Articles |
Nonparametric qualifierand Kolmogorovs criterion in the task of matching of empirical and theoretical cumulativedistribution functions of an one-dimensional random variable |
(Rus)
|
| Volume 12, Nº 4 (2011) |
Articles |
COMPARISON OF NONPARAMETRIC TESTING CRITERIA OF HYPOTHESIS OF DISTRIBUTION OF RANDOM VARIABLES |
(Rus)
|
| Volume 13, Nº 3 (2012) |
Articles |
COLLECTIVE OF MANY-DIMENSIONAL NONPARAMETRIC REGRESSIONS, GROUNDED ON DECOMPOSITION OF LEARNING SAMPLE ACCORDING TO ITS SIZE |
(Rus)
|
| Volume 13, Nº 2 (2012) |
Articles |
THE ANALYSIS OF ASYMPTOTIC PROPERTIES OF MULTIDIMENTIONAL NONPARAMETRIC REGRESSION |
(Rus)
|
| Volume 10, Nº 3 (2009) |
Articles |
Nonparametric estimation of a mix probability density ,based on technology duplication of statistical data |
(Rus)
|
| Volume 10, Nº 1-2 (2009) |
Articles |
COLLECTIVE OF NONPARAMETRIC REGRESSIONS BASED ON DECOMPOSITION OF TRAINING SAMPLE |
(Rus)
|
| Volume 10, Nº 1-1 (2009) |
Articles |
Development and research of nonparametric estimationof probability density based on the principle of training sample decomposition according to its volume |
(Rus)
|
| Volume 12, Nº 3 (2011) |
Articles |
NONPARAMETRIC REGRESSION IN THE CONDITIONS OF PARTIAL DATAON A MODE OF RESTORED LEGITIMACIES |
(Rus)
|
| Volume 25, Nº 1 (2024) |
Section 1. Computer Science, Computer Engineering and Management |
Innovative educational and research center for monitoring forest resources of Siberia based on laser and microwave aerospace imaging |
(Rus)
(Eng)
|
