Similar Search Results

Stochastic semi-nonparametric frontier estimation of electricity distribution networks : applicaton of the StoNED method in the Finnish regulatory model

Kuosmanen, Timo - In: Energy economics 34 (2012) 6, pp. 2189-2199

Persistent link: https://www.econbiz.de/10009688769

Representation theorem for convex nonparametric least squares

Kuosmanen, Timo - In: The econometrics journal 11 (2008) 2, pp. 308-325

Persistent link: https://www.econbiz.de/10003750827

A more efficient algorithm for Convex Nonparametric Least Squares

Lee, Chia-yen; Johnson, Andrew L.; Moreno-Centeno, Erick; … - In: European journal of operational research : EJOR 227 (2013) 2, pp. 391-400

Persistent link: https://www.econbiz.de/10009725603

Stochastic non-convex envelopment of data : applying isotonic regression to frontier estimation

Keshvari, Abolfazl; Kuosmanen, Timo - In: European journal of operational research : EJOR 231 (2013) 2, pp. 481-491

Persistent link: https://www.econbiz.de/10009785475

Neoclassical versus frontier production models? : testing for the skewness of regression residuals

Kuosmanen, Timo; Fosgerau, Mogens - In: The Scandinavian journal of economics 111 (2009) 2, pp. 351-367

Persistent link: https://www.econbiz.de/10003841373

A More Efficient Algorithm for Convex Nonparametric Least Squares

Lee, Chia-Yen - 2013

Convex Nonparametric Least Squares (CNLS) is a nonparametric regression method that does not require a priori specification of the functional form. The CNLS problem is solved by mathematical programming techniques; however, since the CNLS problem size grows quadratically as a function of the...

Persistent link: https://www.econbiz.de/10013091856

Shape-constrained kernel-weighted least squares : estimating production functions for Chilean manufacturing industries

Yagi, Daisuke; Chen, Yining; Johnson, Andrew L.; … - In: Journal of business & economic statistics : JBES ; a … 38 (2020) 1, pp. 43-54

Persistent link: https://www.econbiz.de/10012179500

Non-crossing convex quantile regression

Dai, Sheng; Kuosmanen, Timo; Zhou, Xun - In: Economics letters 233 (2023), pp. 1-5

Persistent link: https://www.econbiz.de/10014505963

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

Modeling joint production of multiple outputs in StoNED : directional distance function approach

Kuosmanen, Timo; Johnson, Andrew L. - In: European journal of operational research : EJOR 262 (2017) 2, pp. 792-801

Persistent link: https://www.econbiz.de/10011798949