FDA: theoretical and practical efficiency of the local linear estimation based on the <i>k</i>NN smoothing of the conditional distribution when there are missing data (Q5107786)
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scientific article; zbMATH DE number 7194350
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | FDA: theoretical and practical efficiency of the local linear estimation based on the <i>k</i>NN smoothing of the conditional distribution when there are missing data |
scientific article; zbMATH DE number 7194350 |
Statements
FDA: theoretical and practical efficiency of the local linear estimation based on the <i>k</i>NN smoothing of the conditional distribution when there are missing data (English)
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28 April 2020
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functional data analysis (FDA)
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nonparametric functional data analysis (NFDA)
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almost-complete convergence
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local linear estimation (LLE)
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conditional distribution function (CDF)
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\(k\)-nearest neighbours (\(k\)NN) method
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missing data at random (MAR)
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