Semiparametric Theory and Missing Data (Springer Series in...

Main
Mathematics
Semiparametric Theory and Missing Data...

Semiparametric Theory and Missing Data (Springer Series in Statistics)

Name: Semiparametric Theory and Missing Data (Springer Series in Statistics)
ISBN: 9780387373454

Anastasios A. Tsiatis

0 / 0

0 comments

Πόσο σας άρεσε αυτό το βιβλίο;

Ποια είναι η ποιότητα του ληφθέντος αρχείου;

Κατεβάστε το βιβλίο για να αξιολογήσετε την ποιότητά του

Ποια είναι η ποιότητα των ληφθέντων αρχείων;

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.

Κατηγορίες:

Mathematics

Έτος:

2006

Έκδοση:

Γλώσσα:

english

Σελίδες:

399

ISBN 10:

0387373454

ISBN 13: