Semiparametric Theory and Missing Data

Released on by Anastasios Tsiatis
preview-18

  • Semiparametric Theory and Missing Data Book Detail

  • Author : Anastasios Tsiatis
  • Release Date : 2007-01-15
  • Publisher : Springer Science & Business Media
  • Genre : Mathematics
  • Pages : 392
  • ISBN 13 : 0387373454
  • File Size : 95,95 MB
DOWNLOAD BOOK

Semiparametric Theory and Missing Data by Anastasios Tsiatis PDF Summary

Book Description: 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.

Disclaimer: www.yourbookbest.com does not own Semiparametric Theory and Missing Data books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Semiparametric Theory and Missing Data

Semiparametric Theory and Missing Data

File Size : 62,62 MB
Total View : 4979 Views
DOWNLOAD

This book summarizes current knowledge regarding the theory of estimation for semiparametric models with missing data, in an organized and comprehensive manner.

Modeling Longitudinal Data

Modeling Longitudinal Data

File Size : 83,83 MB
Total View : 5049 Views
DOWNLOAD

The book features many figures and tables illustrating longitudinal data and numerous homework problems. The associated web site contains many longitudinal data