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- W2756432012 abstract "ABSTRACTThis paper considers a non parametric longitudinal model, where the within-subject correlation structure is represented by a time-depending autoregressive error process. An initial estimator without taking into account the within-subject correlation is obtained to fit the time-depending autoregressive error process. With the initial estimator, we construct a two-stage local linear estimator of the mean function. According to the asymptotic normality of the initial and two-stage estimators, it is discovered that the two-stage estimator has a smaller asymptotic variance. The simulation results show us that the two-stage estimation has some good properties. The analysis of a data set demonstrates its application." @default.
- W2756432012 created "2017-09-25" @default.
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- W2756432012 date "2017-11-08" @default.
- W2756432012 modified "2023-09-23" @default.
- W2756432012 title "Non parametric regression analysis for longitudinal data with time-depending autoregressive error process" @default.
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- W2756432012 doi "https://doi.org/10.1080/03610926.2017.1377251" @default.
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