The Statistical Analysis of Doubly Truncated Data
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[b]A thorough treatment of the statistical methods used to analyze doubly truncated data[/b] In [i]The Statistical Analysis of Doubly Truncated Data,[/i] an expert team of statisticians delivers an up-to-date review of existing methods used to deal with randomly truncated data, with a focus on the challenging problem of random double truncation. The authors comprehensively introduce doubly truncated data before moving on to discussions of the latest developments in the field. The book offers readers examples with R code along with real data from astronomy, engineering, and the biomedical sciences to illustrate and highlight the methods described within. Linear regression …
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