Description: Missing and Modified Data in Nonparametric Estimation : With R Examples, Hardcover by Efromovich, Sam, ISBN 1138054887, ISBN-13 9781138054882, Like New Used, Free shipping in the US
Th 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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Book Title: Missing and Modified Data in Nonparametric Estimation : With R Ex
Number of Pages: 448 Pages
Language: English
Publication Name: Missing and Modified Data in Nonparametric Estimation : with R Examples
Publisher: CRC Press LLC
Subject: Programming Languages / General, Probability & Statistics / General
Item Height: 1.1 in
Publication Year: 2018
Item Weight: 36.1 Oz
Type: Textbook
Author: Sam Efromovich
Subject Area: Mathematics, Computers
Item Length: 10.2 in
Item Width: 7.2 in
Series: Chapman and Hall/Crc Monographs on Statistics and Applied Probability Ser.
Format: Hardcover
