Results 61 to 70 of about 767,622 (306)

Measurement of the technical efficiency of small pineapple farmers in Santander, Colombia: a stochastic frontier approach

open access: yesRevista de Economia e Sociologia Rural, 2013
The objective of this study is to estimate the levels of technical efficiency of the small pineapple farmers of Santander, Colombia, using the stochastic frontier approach. In addition, this study attempts to determine whether the acreage and some of the
Juan C. Trujillo, Wilman J. Iglesias
doaj   +1 more source

Bio‐Inspired Object Retrieval via Proximity‐Guided Adaptive Thigmotactic Exploration and Neuromorphic Recognition

open access: yesAdvanced Robotics Research, EarlyView.
Sparse active‐infrared proximity sensing is coupled to an adaptive thigmotactic controller for camera‐inaccessible object retrieval. After grasping, receptor‐informed encoding transforms force, temperature, and wrist force–torque signals into spike trains for spiking neural network recognition.
Fengyi Wang, Nitish Thakor, Gordon Cheng
wiley   +1 more source

ANALISIS KINERJA USAHATANI PADI SAWAH DI KECAMATAN TENGGARONG SEBERANG DENGAN PENDEKATAN STOCHASTIC FRONTIER ANALYSIS

open access: yesZiraa'ah: Majalah Ilmiah Pertanian
Analysis of Paddy Farming Performance in Tenggarong Seberang with Stochastic Frontier Analysis Approach.  Providing food, especially rice, requires efforts to increase the productivity of rice farming.
Mariyah Mariyah   +2 more
doaj   +1 more source

Estimation Efficiency Hospitals of Kerman Province Using Stochastic Frontier Analysis (SFA) Method, 2007-2011 [PDF]

open access: yesپژوهش‌های سلامت‌محور, 2015
Introduction: One of the most fundamental goals of most countries is improving the quality and efficiency level of healthcare systems and efficient use of their resources.
Reza Goudarzi   +5 more
doaj  

Productivity Spillovers from Foreign Direct Investment: What If Productivity is No Longer a Black Box?

open access: yesThe South East Asian Journal of Management, 2013
While the positive productivity spillover from Foreign Direct Investment (FDI) to domestic owned firms in host countries is unequivocally emphasized in theory, the empirical evidence is contradictory.
Toan Thang Tran
doaj   +1 more source

Stochastic Frontier meets Breakdown Frontier

open access: yes
This paper studies sensitivity analysis in stochastic frontier models by developing relaxations of the baseline assumptions imposed on the latent inefficiency and noise components, and characterize bounds for a benchmark technical-efficiency object under such relaxations.
Acerenza, Santiago, Rosas, Francisco
openaire   +2 more sources

Identifiability of the Stochastic Frontier Models [PDF]

open access: yes
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 ...
Das, Arabinda, Bandyopadhyay, Debdas
core  

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

open access: yesAdvanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen   +9 more
wiley   +1 more source

Estimating fixed-effect panel stochastic frontier models by model transformation [PDF]

open access: yes
Traditional panel stochastic frontier models do not distinguish between unobserved individual heterogeneity and inefficiency. They thus force all time-invariant individual heterogeneity into the estimated inefficiency. Greene (2005) proposes a true fixed-
Ho, Chia-Wen, Wang, Hung-Jen
core  

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

open access: yesAdvanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai   +3 more
wiley   +1 more source

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