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Bayesian Artificial Neural Networks for frontier efficiency analysis
Tsionas, Efthymios G.; Parmeter, Christopher F.; … - In: Journal of econometrics 236 (2023) 2, pp. 1-14
Persistent link: https://www.econbiz.de/10014365509
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Bridging the divide? : Bayesian artificial neural networks for frontier efficiency analysis
Tsionas, Efthymios G.; Parameter, Christopher F.; … - 2021
Persistent link: https://www.econbiz.de/10013256898
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Evaluating the performance of higher education institutions in Europe : a nonparametric efficiency analysis of 944 institutions
Veiderpass, Ann; McKelvey, Maureen D. - In: Applied economics 48 (2016) 16/18, pp. 1504-1514
Persistent link: https://www.econbiz.de/10011456633
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Greenhouse gas emission reduction potentials in Europe by sector : a bootstrap-based nonparametric efficiency analysis
Krüger, Jens; Tarach, Moritz - In: Environmental and resource economics 81 (2022) 4, pp. 867-898
Persistent link: https://www.econbiz.de/10013167195
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Rates of convergence for the normal and the bootstrap approximations in nonparametric regression
Cao-Abad, R. - 1989
Persistent link: https://www.econbiz.de/10000771815
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Bootstrap simultaneous error bars for nonparametric regression
Härdle, Wolfgang; Marron, James Stephen - 1989
Persistent link: https://www.econbiz.de/10000774583
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Bootstrap simultaneous error bars for nonparametric regression
Härdle, Wolfgang; Marron, James Stephen - 1989
Persistent link: https://www.econbiz.de/10000780899
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Bootstrap confidence intervals for sharp regression discontinuity designs with the uniform kernel
Bartalotti, Otávio C.; Calhoun, Gray; He, Yang - 2016
Persistent link: https://www.econbiz.de/10011542749
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A joint specification test for response probabilities in unordered multinomial choice models
Iwasawa, Masamune - In: Econometrics : open access journal 3 (2015) 3, pp. 667-697
Estimation results obtained by parametric models may be seriously misleading when the model is misspecified or poorly approximates the true model. This study proposes a test that jointly tests the specifications of multiple response probabilities in unordered multinomial choice models. The test...
Persistent link: https://www.econbiz.de/10011410669
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Asymptotic refinements of nonparametric bootstrap for quasi-likelihood ratio tests for classes of extremum estimators
Camponovo, Lorenzo - In: The econometrics journal 19 (2016) 1, pp. 33-54
Persistent link: https://www.econbiz.de/10011487564