A Radial Basis Function Neural Network for Stochastic Frontier Analyses of General Multivariate Production and Cost Functions. [PDF]
Neural Process Lett, 2023 Pendharkar PC.
europepmc +1 more source
A Comparative Efficiency Analysis of Wheat Farms using Parametric and Nonparametric Methods [PDF]
Efficiency Analysis, Deterministic Nonparametric Method, Parametric, Stochastic Frontier., Production Economics, Q12,
Featherstone, Allen M., Mo, Lijia
core +1 more source
Frontiers of stochastically nondominated portfolios
, 2002 We consider the problem of constructing a portfolio of finitely many assets whose returns are described by a discrete joint distribution. We propose mean-risk models which are solvable by linear programming and generate portfolios whose returns are nondominated in the sense of second-order stochastic dominance. Next, we develop a specialized parametric
Ruszczynski, Andrzej +1 more
openaire +2 more sources
Advanced Intelligent Discovery, EarlyView.Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source
The stochastic frontier analysis technique in measuring the technical and economic efficiency of hospital diagnostic laboratories: a case study in Iran. [PDF]
Cost Eff Resour Alloc, 2022 Aghlmand S +4 more
europepmc +1 more source
Technical Efficiency of Small Holder Cocoyam Production in Anambra State,Nigeria: A Cobb-Douglas Stochastic Frontier Production Approach [PDF]
This study employed a Cobb-Douglas stochastic frontier production function to measure the level of technical efficiency and its determinants in small-holder cocoyam production in Anambra state, Nigeria. A Multi-stage random sampling technique was used to
Asumugha, G.N +2 more
core +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
Advanced Intelligent Systems, EarlyView.This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
Estimating the self-thinning boundary line for oak mixed forests in central China by using stochastic frontier analysis and a proposed variable density model. [PDF]
Ecol Evol, 2022 Long S, Zeng S, Shi Z, Yang S.
europepmc +1 more source
One-step and two-step estimation of the effects of exogenous variables on technical efficiency levels [PDF]
Consider a stochastic frontier model with one-sided inefficiency u, and suppose that the scale of u depends on some variables (firm characteristics) z. A one-step model specifies both the stochastic frontier and the way in which u depends on z, and can ...
Schmidt, Peter, Wang, Hung-jen
core +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Advanced Intelligent Systems, EarlyView.Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source