.png){kind=icon}
返回
An Update on Measurement Error Modeling
.png){kind=icon}
PRE
AI
DOI：10.1146/annurev-statistics-040722-043616.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The issues caused by measurement errors have been recognized for almost 90 years, and research in this area has flourished since the 1980s. We review some of the classical methods in both density estimation and regression problems with measurement errors. In both problems, we consider when the original error-free model is parametric, nonparametric, and semiparametric, in combination with different error types. We also summarize and explain some new approaches, including recent developments and challenges in the high-dimensional setting.
Keyword:
Berkson error
classical error
errors in variables
measurement errors
期刊
IF:
8.7
论文数:
211
被引数:
2.4K
机构
引用论文
Locally efficient estimators for semiparametric models with measurement error具有测量误差的半参数模型的局部有效估计量
PREAI
分享收藏Long-term urologic, orthopedic, and psychological outcome of posterior urethral rupture in children.png)
Urology
UrologyIF0
PREAI
分享收藏分享收藏
查看更多内容