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ASAS-NANP symposium: mathematical modeling in animal nutrition: training the future generation in data and predictive analytics for sustainable development. A summary of the 2024 symposium.

J Anim Sci
Tedeschi LO, Menendez Iii HM.
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STOCHASTIC FRONTIER ANALYSIS OF VIETNAMESE MANUFACTURING FIRMS

STOCHASTIC FRONTIER ANALYSIS OF VIETNAMESE MANUFACTURING FIRMS
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Sensitivity analysis of stochastic frontier analysis models

Monte Carlo Methods and Applications, 2021
Abstract The efficiency measures of the Stochastic Frontier Analysis (SFA) models are dependent on distributional assumptions of the one-sided error or inefficiency term. Given the intent of earlier researchers in the evaluation of a single inefficiency distribution using Monte Carlo (MC) simulation, much attention has not been paid to ...
Sakouvogui, Kekoura, Shaik, Saleem, Doetkott, Curt, Magel, Rhonda   +3 more
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Stochastic Frontier Analysis with Maximum Entropy Estimation

2023
Maximum entropy in the estimation of parameters in stochastic production frontier models could be an attractive procedure in economic efficiency analysis. In this work, the generalized maximum entropy and the generalized cross entropy estimators are reviewed and their implementation in the stochastic frontier analysis is discussed.
Macedo, Pedro, Madaleno, Mara, Moutinho, Victor   +2 more
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Stochastic Frontier Analysis

2000
Modern textbook presentations of production economics typically treat producers as successful optimizers. Conventional econometric practice has generally followed this paradigm, and least squares based regression techniques have been used to estimate production, cost, profit and other functions.
Kumbhakar, Subal C., Lovell, C.A. Knox
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Stochastic Frontier Analysis SFA

2010
As explained in Chap. 1, there are two dominant approaches to modern benchmarking. One is the non-parametric, deterministic DEA approach discussed in some detail in the last three chapters; other is the stochastic frontier analysis (SFA), which we will cover in this and the next chapter.
Peter Bogetoft, Lars Otto
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Stochastic Frontier Analysis: Foundations and Advances II

2020
This chapter reviews some of the most important developments in the econometric estimation of productivity and efficiency surrounding the stochastic frontier model. We highlight endogeneity issues, recent advances in generalized panel data stochastic frontier models, nonparametric estimation of the frontier, quantile estimation and distribution free ...
Subal C. Kumbhakar, Christopher F. Parmeter, Valentin Zelenyuk   +2 more
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Bounded rationality and thick frontiers in stochastic frontier analysis

European Journal of Operational Research, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Stochastic Frontier Analysis

2018
Distance, revenue, cost and profit functions can always be written in the form of regression models with unobserved error terms representing statistical noise and different types of inefficiency. In practice, the noise components are almost always assumed to be random variables (i.e., stochastic).
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Efisiensi Perusahaan Pertambangan : Metode Stochastic Frontier Analysis

Jurnal Karya Ilmiah Multidisiplin (JURKIM), 2022
Tujuan dari penelitian ini adalah untuk menguji pengaruh profitabilitas, Likuiditas, leverage, dan ukuran perusahaan terhadap pengungkapan corporate social responbility (CSR). CSR diukur dengan menggunakan data dari Global Reporting Initiative (GRI). Profitabilitas diukur dengan menggunakan Return On Asset (ROA), Likuiditas diukur menggunakan Debt to ...
Beneditta Siburian, Rinayanti Rasyad, Jeni Wardi *   +2 more
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