Semiparametric Theory and Missing Data (Springer Series in Statistics) (2006. XV, 377 p. w. 6 figs.)

The theory of missing data applied to semiparametric models is scattered throughout the literature with no thorough comprehensive treatment of the subject.

This book combines much of what is known in regard to the theory of estimation for semiparametric models with missing data in an organized and comprehensive manner.