Semiparametric Theory and Missing Data is popular PDF and ePub book, written by Anastasios Tsiatis in 2007-01-15, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Semiparametric Theory and Missing Data can be Read Online from any device for your convenience.
Semiparametric Theory and Missing Data Book PDF Summary
This book summarizes current knowledge regarding the theory of estimation for semiparametric models with missing data, in an organized and comprehensive manner. It starts with the study of semiparametric methods when there are no missing data. The description of the theory of estimation for semiparametric models is both rigorous and intuitive, relying on geometric ideas to reinforce the intuition and understanding of the theory. These methods are then applied to problems with missing, censored, and coarsened data with the goal of deriving estimators that are as robust and efficient as possible.
Detail Book of Semiparametric Theory and Missing Data PDF
- Author : Anastasios Tsiatis
- Release : 15 January 2007
- Publisher : Springer Science & Business Media
- ISBN : 9780387373454
- Genre : Mathematics
- Total Page : 392 pages
- Language : English
- PDF File Size : 21,6 Mb
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