Abstract
This contribution deals with the estimation of the functional single index regression model (FSIRM) with responses missing at random (MAR) for strong mixing time series data. Some asymptotic properties such as the uniform almost complete convergence rate and asymptotic normality of the estimator are obtained respectively under some general conditions.
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Ling, N., Cheng, L., Vieu, P. (2020). Single Functional Index Model under Responses MAR and Dependent Observations. In: Aneiros, G., Horová, I., Hušková, M., Vieu, P. (eds) Functional and High-Dimensional Statistics and Related Fields. IWFOS 2020. Contributions to Statistics. Springer, Cham. https://doi.org/10.1007/978-3-030-47756-1_22
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DOI: https://doi.org/10.1007/978-3-030-47756-1_22
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-030-47756-1
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