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
Does accounting for inefficiency affect the time-varying short and long-run returns to scale? [PDF]
The returns to scale for nineteen South Asian countries are estimated using window and cumulative rolling stochastic frontier regression analysis. The stochastic frontier analysis accounts for technical inefficiency of Hicks non-neutral technology ...
Shaik, Saleem
core
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
Advanced Intelligent Discovery, EarlyView.The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 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
Identifiability of the Stochastic Frontier Models [PDF]
This paper examines the identifiability of the standard single-equation stochastic frontier models with uncorrelated and correlated error components giving, inter alia, mathematical content to the notion of “near-identifiability” of a statistical model ...
Bandyopadhyay, Debdas, Das, Arabinda
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Stochastic frontier models: a bayesian perspective [PDF]
, 1992 A Bayesian approach to estimation, prediction and model comparison in composed error production models is presented. A broad range of distributions on the inefficiency term define the contending models, which can either be treated separately or pooled ...
Broeck, Julien Van den +3 more
core +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
Advanced Intelligent Discovery, EarlyView.This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 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
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
North Dakota corn efficiency frontier: Stochastic frontier analysis
Crop, Forage & Turfgrass ManagementAbstractAccording to climate studies in North Dakota, the state's crop‐growing season has been extended. In addition, many studies have shown technological advances in crop production. However, the state has not addressed how crop yield has been affected by weather changes.
Bayarbat Badarch +2 more
openaire +2 more sources