Join thousands of book lovers
Sign up to our newsletter and receive discounts and inspiration for your next reading experience.
By signing up, you agree to our Privacy Policy.You can, at any time, unsubscribe from our newsletters.
This book summarizes current knowledge of the theory of estimation for semiparametric models with missing data, applying modern methods to missing, censored, and coarsened data with the goal of deriving estimators that are as robust and efficient as possible.
Sign up to our newsletter and receive discounts and inspiration for your next reading experience.
By signing up, you agree to our Privacy Policy.