Missing and Modified Data in Nonparametric Estimation: With R Examples

By Sam Efromovich

Book Overview

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 nonparamet

• Format: Paperback
• Language: English
• ISBN: 0367571986
• ISBN13: 9780367571986
• Release Date: June 2020
• Publisher: CRC Press
• Length: 464 Pages
• Weight: 1.80 lbs.
• Dimensions: 1.0" x 6.9" x 9.9"