Semiparametric Theory and Missing Data

This PDF book is become immediate popular in Mathematics genre. Semiparametric Theory and Missing Data is written by famous author Anastasios Tsiatis and Ready to Download in ePUB, PDF or Kindle formats. Released by Springer in 2010-02-12. Click Download Book button to get book file and read directly from your devices. Here is a quick description and cover image of Semiparametric Theory and Missing Data book.

Semiparametric Theory and Missing Data
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Publisher : Springer
Release Date :
ISBN : 1441921850
Pages : 388 pages
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Semiparametric Theory and Missing Data by Anastasios Tsiatis 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.


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