Statistical inference on partial linear additive models with distortion measurement errors

Yujie Gai; Jun Zhang; Gaorong Li; Xinchao Luo

doi:10.1016/j.stamet.2015.05.004

ScienceGate Book Chapters

JOURNAL ARTICLE

Statistical inference on partial linear additive models with distortion measurement errors

Yujie Gai Jun Zhang Gaorong Li Xinchao Luo

Year: 2015 Journal: Statistical Methodology Vol: 27 Pages: 20-38 Publisher: Elsevier BV

DOI: 10.1016/j.stamet.2015.05.004

Get Full-Text PDF Get Analytical Report

Keywords:

Mathematics Estimator Test statistic Statistics Statistical inference Statistical hypothesis testing Covariate Asymptotic distribution Parametric statistics Linear model Inference Applied mathematics Residual Nonparametric statistics Algorithm

Metrics

Cited By

0.43

FWCI (Field Weighted Citation Impact)

Refs

0.66

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Advanced Statistical Methods and Models

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical inference on partial linear additive models with distortion measurement errors

Metrics

Citation History

Topics

Related Documents

Statistical inference for linear regression models with additive distortion measurement errors

Statistical inference on restricted partial linear regression models with partial distortion measurement errors

Partial linear additive distortion measurement errors models

Partial linear additive distortion measurement errors models

Statistical inference on restricted linear regression models with partial distortion measurement errors