The Statistical Analysis of Doubly Truncated Data : With Applications in R (Wiley Series in Probability and Statistics)

This book provides an up-to-date review of the existing methods to deal with randomly truncated data, with focus on the difficult problem of random double truncation. Doubly truncated data is introduced in a comprehensive way and explores the latest developments in this field. Illustrative examples with R code are provided along with real data examples from astronomy, economy, and biomedical sciences to supplement the methods featured throughout the book.

• | Author: Jacobo J de Uña-Álvarez|Rosa R Crujeiras|Carla C Moreira
• | Publisher: Wiley
• | Publication Date: January 04, 2022
• | Number of Pages: 288 pages
• | Language: English
• | Binding: Hardcover
• | ISBN-10: 1119951372
• | ISBN-13: 9781119951377