WLS estimator for right censored linear model with continuous auxiliary information

Linghui Jin

doi:10.1117/12.2672717

28 March 2023 WLS estimator for right censored linear model with continuous auxiliary information

Linghui Jin

Proceedings Volume 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022); 1259714 (2023) https://doi.org/10.1117/12.2672717
Event: Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 2022, Nanjing, China

Abstract

In this paper, we focus on the auxiliary covariates problem base on the right censored linear model. We estimate the missing primary covariates through the kernel smoother method, the selection probability of the validation set is allowed to depend on the observed covariates. Then a Weighted Least Squares (WLS) estimator for the unknown regression parameter is proposed, and we compare the proposed method with two other methods via two simulations.

Citation Download Citation

Linghui Jin "WLS estimator for right censored linear model with continuous auxiliary information", Proc. SPIE 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 1259714 (28 March 2023); https://doi.org/10.1117/12.2672717

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available