Sam Efromovich

Missing and Modified Data in Nonparametric Estimation (eBook, ePUB)

With R Examples

• Format: ePub

Produktbeschreibung

The book gives a unified approach to nonparametric curve estimation based on missing and modified data. Missing data includes cases of missing at random and missing not at random, while data modification includes truncation and censoring, typical in survival analysis, as well as measurement errors and amplitude modulation. A universal nonparametric series E-estimator is used whose statistical idea is based on estimation of a population mean by a corresponding sample mean. While the approach is straightforward, the asymptotic theory shows that no other estimator can outperform the E-estimator.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 464
• Erscheinungstermin: 12. März 2018
• Englisch
• ISBN-13: 9781351679831
• Artikelnr.: 56837621

Autorenporträt

Sam Efromovich

Inhaltsangabe

Introduction. Estimation for Directly Observed Data. Estimation for Basic
Models of Modified Data. Nondestructive Missing. Destructive Missing.
Survival Analysis. Missing Data in Survival Analysis. Time Series Analysis.
Ill-Posed Modifications.