Results 51 to 60 of about 14,688 (306)
PERTUMBUHAN TFP DAN PENGEMBANGAN EFISIENSI PRODUKSI
Buletin Ekonomi Moneter dan Perbankan, 2007 This paper investigates both the accumulation and the quality of the input factors with stochastic frontier production function model. The application of the model also enables us to predict the technical efficiency of the input factors for each province
Endy Dwi Tjahjono, Donni Fajar Anugrah
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Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Advanced Materials, EarlyView.Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
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Cogent Food & Agriculture, 2021 Teff is among the most widely grown cereal crop in Ethiopia and important in national food security. The study aimed to measure technical efficiency and sources of inefficiencies of teff producer farmers.
Zinabu Tesfaw +2 more
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A Stochastic Frontier Model with Correction for Sample Selection [PDF]
SSRN Electronic Journal, 2008 Heckman s (1979) sample selection model has been employed in three decades of applications of linear regression studies. The formal extension of the method to nonlinear models, however, is of more recentvintage. A generic solution for nonlinear models is proposed in Terza (1998). We have developed simulation based approach in Greene (2006).
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Self‐Assembled Calcite Architectures for Programmable Information Storage
Advanced Materials Technologies, EarlyView.Programmable biomineralization enables the formation of 3D calcite architectures that encode information through spatially defined refractive‐index modulations. Data are written via laser‐directed mineralization, stored in stable voxelized mineral structures, and retrieved non‐destructively through optical diffraction, offering a pathway toward ultra ...
Congrui Jin +2 more
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Barekeng, 2023 The stochastic production frontier (SPF) is the stochastic frontier analysis (SFA) method used to estimate the production frontier by accounting for the existence of inefficiency.
Ismail Pranata +2 more
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Fitting Endogenous Stochastic Frontier Models in Stata [PDF]
The Stata Journal: Promoting communications on statistics and Stata, 2017 In this article, I introduce sfkk, a new command for fitting endogenous stochastic frontier models. sfkk provides estimators for the parameters of a linear model with a disturbance assumed to be a mixture of two components: a measure of inefficiency that is strictly nonnegative and a two-sided error term from a symmetric distribution.
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Model averaging estimators for the stochastic frontier model [PDF]
Journal of Productivity Analysis, 2019 Model uncertainty is a prominent feature in many applied settings. This is certainty true in the efficiency analysis realm where concerns over the proper distributional specification of the error components of a stochastic frontier model is, generally, still open along with which variables influence inefficiency.
Christopher F. Parmeter +2 more
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Information Transmission Strategies for Self‐Organized Robotic Aggregation
Advanced Robotics Research, EarlyView.In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
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A stochastic frontier model for measuring online bank profit efficiency
South African Journal of Business Management, 2011 This study revisited an alternative profit efficiency function specified by Berger Mester, (1997) and we applied Battese Coelli, (1995) inefficiency model as a unified and consistent framework in exploring the determinants of important factors causing ...
M. A. Baten, A. A. Kamil
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