The following pages link to Jan Kalina (Q408098):
Displaying 25 items.
- (Q275537) (redirect page) (← links)
- Three contributions to robust regression diagnostics (Q275538) (← links)
- Nonparametric multivariate rank tests and their unbiasedness (Q408099) (← links)
- R-estimation of the parameters of a multiple regression model with measurement errors (Q427478) (← links)
- Outlier detection by means of robust regression estimators for use in engineering science (Q1048353) (← links)
- Implicitly weighted methods in robust image analysis (Q1932999) (← links)
- Nonparametric estimation of regression parameters in measurement error models (Q2003031) (← links)
- Robust coefficients of correlation or spatial autocorrelation based on implicit weighting (Q2111964) (← links)
- Robustness of supervised learning based on combined centroids (Q2148743) (← links)
- Statistical learning for recommending (robust) nonlinear regression methods (Q2288099) (← links)
- A nonparametric classification algorithm based on optimized templates (Q2417439) (← links)
- Model choice for regression models with a categorical response (Q2688818) (← links)
- Some diagnostic tools in robust econometrics (Q2904118) (← links)
- On locally most powerful sequential rank tests (Q2986850) (← links)
- (Q3295309) (← links)
- On Robust Training of Regression Neural Networks (Q3300642) (← links)
- Interpoint distance tests for high-dimensional comparison studies (Q5037047) (← links)
- Common multivariate estimators of location and scatter capture the symmetry of the underlying distribution (Q5082749) (← links)
- Regression Neural Networks with a Highly Robust Loss Function (Q5141227) (← links)
- A Comparison of Robust Model Choice Criteria Within a Metalearning Study (Q5141232) (← links)
- The minimum weighted covariance determinant estimator revisited (Q5867429) (← links)
- Editorial. (Q5966227) (← links)
- The minimum weighted covariance determinant estimator for high-dimensional data (Q6161665) (← links)
- Exploring the impact of post-training rounding in regression models. (Q6584366) (← links)
- Highly robust training of regularized radial basis function networks. (Q6584495) (← links)
