THE EM ALGORITHM FOR STANDARD STOCHASTIC FRONTIER MODELS-Reference-Cited by-同舟云学术

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THE EM ALGORITHM FOR STANDARD STOCHASTIC FRONTIER MODELS

Published:2019-12 Issue:3 Volume:39 Page:361-378
ISSN:1678-5142
Container-title:Pesquisa Operacional
language:
Short-container-title:Pesqui. Oper.

Author:

Andrade Bernardo B. de¹^ORCID,Souza Geraldo S.²

Affiliation:

1. Universidade de Brasília, Brazil

2. Empresa Brasileira de Pesquisa Agropecuária, Brazil

Publisher

FapUNIFESP (SciELO)

Subject

Management Science and Operations Research

Link

http://www.scielo.br/pdf/pope/v39n3/1678-5142-pope-39-03-361.pdf

Reference24 articles.

1. On estimating the industry production function;AIGNER D;American Economic Review,1968

2. Likelihood computation in the normal-gamma stochastic frontier model;ANDRADE BB;Computational Statistics,2018

3. turboEM: A Suite of Convergence Acceleration Schemes for EM, MM and Other Fixed-Point Algorithms;BOBB JF,2018

4. Benchmarking with DEA and SFA;BOGETOFT P,2015

5. frontier: Stochastic Frontier Analysis;COELLI T,2013

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2. A data-driven approach to estimating post-discovery parameters of unexplored oilfields;Petroleum;2022-10

3. Multivariate Skew Normal-Based Stochastic Frontier Models;Journal of Statistical Theory and Practice;2022-03-22

4. ENDOGENEITY IN STOCHASTIC PRODUCTION FRONTIER WITH ONE AND TWO-STEP MODELS: AN APPLICATION WITH MUNICIPAL DATA FROM THE BRAZILIAN AGRICULTURAL CENSUS;Pesquisa Operacional;2022

5. Using Bayesian Networks to Estimate the Effectiveness of Innovative Projects;Lecture Notes in Computational Intelligence and Decision Making;2021-07-23

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