Pages that link to "Item:Q5291820"
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The following pages link to On power and sample size determinations for the Wilcoxon–Mann–Whitney test (Q5291820):
Displaying 32 items.
- Fréchet regression for random objects with Euclidean predictors (Q132099) (← links)
- Nonparametric least squares estimation in derivative families (Q736532) (← links)
- Nonlinear mean shift over Riemannian manifolds (Q847498) (← links)
- Kernel density estimation on Riemannian manifolds: asymptotic results (Q993534) (← links)
- Nonparametric regression using needlet kernels for spherical data (Q1633627) (← links)
- Nonlinear multi-output regression on unknown input manifold (Q1680851) (← links)
- Connecting pairwise geodesic spheres by depth: DCOPS (Q1755114) (← links)
- Additive regression for non-Euclidean responses and predictors (Q2054521) (← links)
- Nonparametric recursive regression estimation on Riemannian manifolds (Q2070583) (← links)
- Total variation regularized Fréchet regression for metric-space valued data (Q2073719) (← links)
- Level set and density estimation on manifolds (Q2078576) (← links)
- Nonparametric estimation for stationary and strongly mixing processes on Riemannian manifolds (Q2100129) (← links)
- Nonparametric regression on Lie groups with measurement errors (Q2105204) (← links)
- Uniform convergence of local Fréchet regression with applications to locating extrema and time warping for metric space valued trajectories (Q2148989) (← links)
- Intrinsic Riemannian functional data analysis for sparse longitudinal observations (Q2148996) (← links)
- Kernel and wavelet density estimators on manifolds and more general metric spaces (Q2174982) (← links)
- Supervised classification of geometrical objects by integrating currents and functional data analysis (Q2220793) (← links)
- Intrinsic polynomials for regression on Riemannian manifolds (Q2513409) (← links)
- Welcome to Riemannian Computing in Computer Vision (Q2807038) (← links)
- A General Least Squares Regression Framework on Matrix Manifolds for Computer Vision (Q2807062) (← links)
- Nonparametric curve estimation on stiefel manifolds (Q3837553) (← links)
- Nonparametric modelling for functional data: selected survey and tracks for future (Q4579996) (← links)
- Oracle inequalities and upper bounds for kernel density estimators on manifolds and more general metric spaces (Q5051324) (← links)
- Symmetry tests for manifold-valued random variables (Q5079020) (← links)
- Regression for non-Euclidean data using distance matrices (Q5130534) (← links)
- Nonparametric Regression between General Riemannian Manifolds (Q5747681) (← links)
- Sets that maximize probability and a related variational problem (Q6059519) (← links)
- Fréchet single index models for object response regression (Q6158214) (← links)
- Robust Estimators in Partly Linear Regression Models on Riemannian Manifolds (Q6169379) (← links)
- Some results on statistics and functional data analysis (Q6204914) (← links)
- Density estimation and regression analysis on hyperspheres in the presence of measurement error (Q6536916) (← links)
- Medoid splits for efficient random forests in metric spaces (Q6626717) (← links)
