Citations refer to the original publication, not to a Scieee localized version.
Rivas Martínez, G. I., & Jiménez Gamero, M. D. (2018). Computationally efficient goodness-of-fit tests for the error distribution in nonparametric regression. Instituto Nacional de Estatística (Portugal). https://idus.us.es/items/06e048fd-253c-41c6-8db3-b31dbe683cdc
Rivas Martínez, Gustavo Ignacio, and María Dolores Jiménez Gamero. Computationally efficient goodness-of-fit tests for the error distribution in nonparametric regression. Instituto Nacional de Estatística (Portugal), 2018. https://idus.us.es/items/06e048fd-253c-41c6-8db3-b31dbe683cdc.
Rivas Martínez, Gustavo Ignacio, and María Dolores Jiménez Gamero. Computationally efficient goodness-of-fit tests for the error distribution in nonparametric regression. Instituto Nacional de Estatística (Portugal), 2018. https://idus.us.es/items/06e048fd-253c-41c6-8db3-b31dbe683cdc.
Rivas Martínez, G. I. and Jiménez Gamero, M. D. (2018) Computationally efficient goodness-of-fit tests for the error distribution in nonparametric regression. Instituto Nacional de Estatística (Portugal). Available at: https://idus.us.es/items/06e048fd-253c-41c6-8db3-b31dbe683cdc.
G. I. Rivas Martínez and M. D. Jiménez Gamero, “Computationally efficient goodness-of-fit tests for the error distribution in nonparametric regression,” Instituto Nacional de Estatística (Portugal), 2018. [Online]. Available: https://idus.us.es/items/06e048fd-253c-41c6-8db3-b31dbe683cdc
@misc{rivasmartinez2018computationally,
author = {Rivas Martínez, Gustavo Ignacio and Jiménez Gamero, María Dolores},
title = {Computationally efficient goodness-of-fit tests for the error distribution in nonparametric regression},
year = {2018},
publisher = {Instituto Nacional de Estatística (Portugal)},
url = {https://idus.us.es/items/06e048fd-253c-41c6-8db3-b31dbe683cdc}
}
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