Zobrazeno 1 - 10
of 643 031
pro vyhledávání: '"control variables"'
Autor:
Hünermund, Paul1 (AUTHOR), Louw, Beyers2 (AUTHOR) beyers.louw@rug.nl
Publikováno v:
Organizational Research Methods. Jan2025, Vol. 28 Issue 1, p138-151. 14p.
Autor:
Qin, Luyao1,2 (AUTHOR), Chen, Yaodeng1 (AUTHOR) keyu@nuist.edu.cn, Meng, Deming3 (AUTHOR), Cheng, Xiaoping2 (AUTHOR), Zhang, Peng4 (AUTHOR)
Publikováno v:
Journal of Advances in Modeling Earth Systems. Oct2024, Vol. 16 Issue 10, p1-26. 26p.
Autor:
Kim, Geonwoo, Song, Suyong
We develop an estimator for treatment effects in high-dimensional settings with additive measurement error, a prevalent challenge in modern econometrics. We introduce the Double/Debiased Convex Conditioned LASSO (Double/Debiased CoCoLASSO), which ext
Externí odkaz:
http://arxiv.org/abs/2408.14671
This study introduces a data-driven, machine learning-based method to detect suitable control variables and instruments for assessing the causal effect of a treatment on an outcome in observational data, if they exist. Our approach tests the joint ex
Externí odkaz:
http://arxiv.org/abs/2407.04448
The health status of power semiconductor devices in power converters is important but difficult to monitor. This paper analyzes the relationship between harmonics in inverter control variables and a health precursor (the on-state voltage Von of power
Externí odkaz:
http://arxiv.org/abs/2404.09733
Publikováno v:
Journal of Applied Structural Equation Modeling, Vol 8, Iss 2, Pp 1-18 (2024)
Although the considerable body of research on control variables offers best practice recommendations, there are still shortcomings in their application in published research papers. Consequently, a significant proportion of quantitative studies lack
Externí odkaz:
https://doaj.org/article/bb2dc3dd73c54b01968845ab07194f90
Autor:
Xu, Yicheng1 (AUTHOR) xuyicheng18@nudt.edu.cn, Ma, Wubin1 (AUTHOR) wb_ma@nudt.edu.cn, Dai, Chaofan1 (AUTHOR), Wu, Yahui1 (AUTHOR), Zhou, Haohao1 (AUTHOR)
Publikováno v:
Mathematics (2227-7390). Sep2024, Vol. 12 Issue 17, p2644. 19p.
Autor:
Chen, Kaicheng, Kim, Kyoo il
We study identification of the treatment effects in a class of nonseparable models with the presence of potentially endogenous control variables. We show that given the treatment variable and the controls are measurably separated, the usual condition
Externí odkaz:
http://arxiv.org/abs/2401.14395
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 10, Pp n/a-n/a (2024)
Abstract All‐sky radiance assimilation has been extensively developed to provide additional information for numerical weather prediction under cloudy conditions. Microwave radiances are particularly sensitive to hydrometeors, which can be used to i
Externí odkaz:
https://doaj.org/article/74577027554844a7a5c7a97e973cbf5e
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