A review on robust estimators applied to regression credibility

Pitselis, Georgios

doi:10.1016/j.cam.2012.09.009

Cited by 32 publications

(13 citation statements)

References 13 publications

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“…Many other robust estimators are available for robust line fitting such Sestimator and MM-estimator. They are function to minimize the dispersion of the residuals (15). S estimation is based on residual scale (standard deviation) of M-estimation intentionally to overcome the weakness of median as weightage value in M-estimator.…”

Section: Other Potential Robust Estimator Methodsmentioning

confidence: 99%

Increasing T-Method Accuracy Through Application of Robust M-Estimatior

Harudin¹,

Jamaludin

Muhtazaruddin

et al. 2018

IJET

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Section: Other Potential Robust Estimator Methodsmentioning

confidence: 99%

Increasing T-Method Accuracy Through Application of Robust M-Estimatior

Harudin¹,

Jamaludin

Muhtazaruddin

et al. 2018

IJET

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“…Robust regression reduces the effects of potential outlier data points. This can be done by using a weighting (loss) function that is different from the commonly used sum of squared errors and assigns less weight to outlier observations 27 , 28 .…”

Section: Methodsmentioning

confidence: 99%

Modeling space radiation induced cognitive dysfunction using targeted and non-targeted effects

Shuryak

Brenner

Blattnig

et al. 2021

Sci Rep

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Radiation-induced cognitive dysfunction is increasingly recognized as an important risk for human exploration of distant planets. Mechanistically-motivated mathematical modeling helps to interpret and quantify this phenomenon. Here we considered two general mechanisms of ionizing radiation-induced damage: targeted effects (TE), caused by traversal of cells by ionizing tracks, and non-targeted effects (NTE), caused by responses of other cells to signals released by traversed cells. We compared the performances of 18 dose response model variants based on these concepts, fitted by robust nonlinear regression to a large published data set on novel object recognition testing in rats exposed to multiple space-relevant radiation types (H, C, O, Si, Ti and Fe ions), covering wide ranges of linear energy transfer (LET) (0.22–181 keV/µm) and dose (0.001–2 Gy). The best-fitting model (based on Akaike information criterion) was an NTE + TE variant where NTE saturate at low doses (~ 0.01 Gy) and occur at all tested LETs, whereas TE depend on dose linearly with a slope that increases with LET. The importance of NTE was also found by additional analyses of the data using quantile regression and random forests. These results suggest that NTE-based radiation effects on brain function are potentially important for astronaut health and for space mission risk assessments.

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“…We were also aware of the fact that outliers may impact results, especially in convenience sampling. To address this issue, we conducted a robustness check using a robust regression procedure (Hampel et al, 2005;Pitselis, 2013). The result showed that the presence of outliers in the study does not impact our results.…”

Section: Samplementioning

confidence: 99%

Do Entrepreneurship Skills Improve Project Performance? A Project-Based Learning Perspective

Shekarian

Parast

2021

The Journal of Entrepreneurship

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This study examines the effect of entrepreneurship skillsets on project performance. Building upon the theory of planned behaviour, we examine the impact of individual entrepreneurship orientation (IEO) and entrepreneurship self-efficacy (ESE) on project performance, using a sample of 243 observations from students’ projects in areas of science, engineering and technology. We examine our research questions using a combination of multivariate regression analysis and robust regression. The results show that the survey is valid and reliable in measuring IEO and ESE, and the survey can be used to assess the relationship between IEO, ESE and project performance. In addition, the findings indicate that appearance self-efficacy is the variable that most significantly contributes to project performance, followed by social skills, then management skills. The study provides insights into how entrepreneurship skills can be viewed as important skillsets for success in projects and how operations and project managers can emphasise certain entrepreneurship skills to enhance project performance. At the individual level, entrepreneurship skills can be viewed as skillsets that improve project performance even in projects that are less entrepreneurial in nature. The improvement in performance is primarily in projects that are more structured, have a specific timeline and have defined objectives.

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A review on robust estimators applied to regression credibility

Cited by 32 publications

References 13 publications

Increasing T-Method Accuracy Through Application of Robust M-Estimatior

Increasing T-Method Accuracy Through Application of Robust M-Estimatior

Modeling space radiation induced cognitive dysfunction using targeted and non-targeted effects

Do Entrepreneurship Skills Improve Project Performance? A Project-Based Learning Perspective

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