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The case for the use of multiple imputation missing data methods in stochastic frontier analysis with illustration using English local highway data
Stead, Alexander D.; Wheat, Phill - In: European journal of operational research : EJOR 280 (2020) 1, pp. 59-77
Persistent link: https://www.econbiz.de/10012132361
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Comparison of imputation methods for discriminant analysis with strategically hidden data
Zheng, Juheng; Aytug, Haldun - In: European journal of operational research : EJOR 255 (2016) 2, pp. 522-530
Persistent link: https://www.econbiz.de/10011532186
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Nonparametric quantile frontier estimation under shape restriction
Wang, Yongqiao; Wang, Shouyang; Dang, Chuangyin; Ge, Wenxiu - In: European journal of operational research : EJOR 232 (2014) 3, pp. 671-678
Persistent link: https://www.econbiz.de/10010224949
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Generalized quantile and expectile properties for shape constrained nonparametric estimation
Dai, Sheng; Kuosmanen, Timo; Zhou, Xun - In: European journal of operational research : EJOR 310 (2023) 2, pp. 914-927
Persistent link: https://www.econbiz.de/10014340805
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Computing observation weights for signal extraction and filtering
Koopman, Siem Jan; Harvey, Andrew C. - In: Journal of economic dynamics & control 27 (2003) 7, pp. 1317-1333
Persistent link: https://www.econbiz.de/10001736096
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The Half-Half plot
Einmahl, John H. J.; Gantner, Maria - 2009
Persistent link: https://www.econbiz.de/10003884420
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Bridging Centrality and Extremity : Refining Empirical Data Depth using Extreme Value Statistics
Einmahl, John H. J.; Li, Jun; Liu, Regina Y. - 2015
Persistent link: https://www.econbiz.de/10011350125
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On the sensitivity of the usual T- and F-tests to AR(1) misspecification
Banerjee, Anurag Narayan; Magnus, Jan R. - 1997
Persistent link: https://www.econbiz.de/10000972163
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Statistical analysis of complex and spatially dependent data : a review of object oriented spatial statistics
Menafoglio, Alessandra; Secchi, Piercesare - In: European journal of operational research : EJOR 258 (2017) 2, pp. 401-410
Persistent link: https://www.econbiz.de/10011644077
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Kriging for interpolation in random simulation
Beers, Wim C. M. van (contributor);  … - 2001 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001617287