Abstract
This contribution considers estimation of the parameters of the functional linear model with scalar response when some of the responses are missing at random. We consider two different estimation methods of the functional slope of the model and analyze their characteristics. Simulations and the analysis of a real data example provides some insight into the behavior of both estimation procedures.
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Keywords
- Scalar Response
- Missing Response
- Functional Principal Component Analysis
- Functional Principal Component
- Complete Pair
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Febrero-Bande, M., Galeano, P., González-Manteiga, W. (2017). Parameter estimation of the functional linear model with scalar response with responses missing at random. In: Aneiros, G., G. Bongiorno, E., Cao, R., Vieu, P. (eds) Functional Statistics and Related Fields. Contributions to Statistics. Springer, Cham. https://doi.org/10.1007/978-3-319-55846-2_14
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DOI: https://doi.org/10.1007/978-3-319-55846-2_14
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Online ISBN: 978-3-319-55846-2
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