The Statistical Analysis of Doubly Truncated Data : With Applications in R PDF
180 Pages·2022·9.15 MB·other
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Description:
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.
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Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.
