OpenAlex | Local linear regression for generalized linear models with missing data

Local linear regression for generalized linear models with missing data

Work

Year: 1998

Type: article

Abstract: Fan, Heckman and Wand proposed locally weighted kernel polynomial regression methods for generalized linear models and quasilikelihood functions. When the covariate variables are missing at random, we... more

Source: The Annals of Statistics

Authors Raymond J. Carroll, Roberto G. Gutierrez, C. Y. Wang, Suojin Wang

Institutions Southern Methodist University, Texas A&M University, Fred Hutch Cancer Center

Cites: 22

Cited by: 53

Related to: 10

FWCI:

Citation percentile (by year/subfield): 89.43

Topic: Statistical Methods and Bayesian Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: bronze