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Szacowanie gęstości warunkowej z wykorzystaniem modelu w strukturze regresji skalarnej na funkcji: lokalne podejście liniowe z losowym brakiem
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Szacowanie gęstości warunkowej z wykorzystaniem modelu w strukturze regresji skalarnej na funkcji: lokalne podejście liniowe z losowym brakiem
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Szacowanie gęstości warunkowej z wykorzystaniem modelu w strukturze regresji skalarnej na funkcji: lokalne podejście liniowe z losowym brakiem
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Journal Article
Szacowanie gęstości warunkowej z wykorzystaniem modelu w strukturze regresji skalarnej na funkcji: lokalne podejście liniowe z losowym brakiem
2023
Overview
The aim of this research was to study a nonparametric estimator of the density and mode function of a scalar response variable given a functional variable, when the observations are i.i.d. This proposed estimator is given by combining Missing At Random (MAR) with the local linear approach. Finally, a comparison study based on simulated data is also provided to illustrate the finite sample performances and the usefulness of the local linear approach with MAR to the presence of even a small proportion of outliers in the data.
Publisher
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu,The Publishing House of the Wrocław University of Economics
Subject
