Pages that link to "Item:Q4416916"
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The following pages link to METHODS FOR ESTIMATING PRINCIPAL POINTS (Q4416916):
Displaying 12 items.
- A principal subspace theorem for 2-principal points of general location mixtures of spherically symmetric distributions (Q613175) (← links)
- Principal points of a multivariate mixture distribution (Q618144) (← links)
- Principal points for an allometric extension model (Q744816) (← links)
- Optimal estimators of principal points for minimizing expected mean squared distance (Q897631) (← links)
- Self-consistent patterns for symmetric multivariate distributions (Q1393052) (← links)
- High precision numerical computation of principal points for univariate distributions (Q2061781) (← links)
- Optimal principal points estimators of multivariate distributions of location-scale and location-scale-rotation families (Q2208384) (← links)
- A parametric \(k\)-means algorithm (Q2271693) (← links)
- Uniqueness of principal points with respect to \(p\)-order distance for a class of univariate continuous distribution (Q2667590) (← links)
- Estimation of principal points for a multivariate binary distribution using a log-linear model (Q2974918) (← links)
- (Q4219536) (← links)
- Representative points for location-biased datasets (Q5086162) (← links)
