Missing and Modified Data in Nonparametric EstimationAuthor :
Hardback
Published : Monday 12 March 2018
Description
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.
You may also like ...
by
Paperback
30 Jun 2020
Medical equipment and techniques
€52.64
Extended stock – Dispatch 5-7 days
by
Hardback
10 Sep 2018
Medical research
€122.85
Extended stock – Dispatch 5-7 days
by
Hardback
12 Mar 2018
Probability and statistics
€107.63
Extended stock – Dispatch 5-7 days
by
Hardback
01 Nov 2022
Cookery / food and drink / food writing
€35.10
Extended stock – Dispatch 5-7 days
Reviews