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Missing and Modified Data in Nonparametric Estimation

With R Examples

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  • 464pages
  • 17 heures de lecture

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Focusing on nonparametric curve estimation, this book addresses challenges posed by missing and modified data, including scenarios of missing at random and not at random. It also covers data modifications like truncation, censoring, measurement errors, and amplitude modulation, which are common in survival analysis. The text offers a comprehensive framework for understanding and applying these concepts, making it a valuable resource for researchers dealing with complex data issues.

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Missing and Modified Data in Nonparametric Estimation, Sam Efromovich

Langue
Année de publication
2020
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Titre
Missing and Modified Data in Nonparametric Estimation
Sous-titre
With R Examples
Langue
Anglais
Éditeur
CRC Press
Publié
2020
Format
souple
Pages
464
ISBN13
9780367571986
Séries
Description
Focusing on nonparametric curve estimation, this book addresses challenges posed by missing and modified data, including scenarios of missing at random and not at random. It also covers data modifications like truncation, censoring, measurement errors, and amplitude modulation, which are common in survival analysis. The text offers a comprehensive framework for understanding and applying these concepts, making it a valuable resource for researchers dealing with complex data issues.