Missing and Modified Data in Nonparametric Estimation: With R Examples - Sam Efromovich
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Saadetis 17-23 tööpäeva jooksul
30-päevane tagastamisõigus
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 ... Täielik kirjeldus
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Kirjeldus
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.
Lisateave
| Autor | Sam Efromovich |
|---|---|
| Kirjastaja | CRC Press |
| Väljalaskeaasta | 2018 |
| Kaanetüüp | Kõvakaaneline |
| EAN | 9781138054882 |