Pages that link to "Item:Q2356112"
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The following pages link to Stochastic non-convex envelopment of data: applying isotonic regression to frontier estimation (Q2356112):
Displaying 12 items.
- Cost-effectiveness measures on convex and nonconvex technologies (Q319762) (← links)
- Non-parametric efficiency estimation using Richardson-Lucy blind deconvolution (Q320765) (← links)
- Smooth approximations to monotone concave functions in production analysis: an alternative to nonparametric concave least squares (Q1653359) (← links)
- Semiparametric stochastic frontier models: a generalized additive model approach (Q1751703) (← links)
- Microfoundations for stochastic frontiers (Q1751761) (← links)
- A penalized method for multivariate concave least squares with application to productivity analysis (Q1752904) (← links)
- Segmented concave least squares: a nonparametric piecewise linear regression (Q1754121) (← links)
- Performance estimation when the distribution of inefficiency is unknown (Q2079433) (← links)
- Optimal combinations of stochastic frontier and data envelopment analysis models (Q2240014) (← links)
- Isotonic regression for metallic microstructure data: estimation and testing under order restrictions (Q5092987) (← links)
- Generalized quantile and expectile properties for shape constrained nonparametric estimation (Q6168512) (← links)
- Estimating Monotone Concave Stochastic Production Frontiers (Q6620958) (← links)