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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
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- Année de publication
- 2020
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