Search Results - subject:"missing response"

An empirical likelihood inference for the coefficient difference of a two-sample linear model with missing response data

Yu, Wei; Niu, Cuizhen; Xu, Wangli - In: Metrika 77 (2014) 5, pp. 675-693

-sample linear regression model with missing response data. The commonly used empirical likelihood ratio is not concave for this …

Persistent link: https://www.econbiz.de/10010896475

Dimension reduction with missing response at random

Guo, Xu; Wang, Tao; Xu, Wangli; Zhu, Lixing - In: Computational Statistics & Data Analysis 69 (2014) C, pp. 228-242

When there are many predictors, how to efficiently impute responses missing at random is an important problem to deal with for regression analysis because this missing mechanism, unlike missing completely at random, is highly related to high-dimensional predictor vectors. In sufficient dimension...

Persistent link: https://www.econbiz.de/10010709953

Nonparametric checks for varying coefficient models with missing response at random

Xu, Wangli; Guo, Xu - In: Metrika 76 (2013) 4, pp. 459-482

with missing response. Two groups of completed data sets are constructed by using imputation and inverse probability …

Persistent link: https://www.econbiz.de/10010896479

Asymptotic properties of local polynomial regression with missing data and correlated errors

Pérez-González, A.; Vilar-Fernández, J.; … - In: Annals of the Institute of Statistical Mathematics 61 (2009) 1, pp. 85-109

Persistent link: https://www.econbiz.de/10005616163

Likelihood-based imputation inference for mean functionals in the presence of missing responses

Wang, Qi-Hua - In: Annals of the Institute of Statistical Mathematics 56 (2004) 3, pp. 403-414

Persistent link: https://www.econbiz.de/10005169324