Robust Surveillance Schemes Based on Proportional Hazard Model for Monitoring Reliability Data
Mathematics, 2023 Product reliability is a crucial component of the industrial production process. Several statistical process control techniques have been successfully employed in industrial manufacturing processes to observe changes in reliability-related quality ...
Moezza Nabeel +4 more
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Estimating a unit price for roads maintenance activities using exponential robust regression
Journal of Civil Engineering and Management, 2014 Good road maintenance schemes allow reducing costs and extending the service life of roads. There are several methods to plan these project maintenances but all of them require input information about maintenance costs, which can be very different ...
Cristóbal Moena, Alfredo Serpell
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The effect of calibration errors on the accuracy of the eye movement recordings
Journal of Eye Movement Research, 2008 For calibrating eye movement recordings, a regression between spatially defined calibration points and corresponding measured raw data is performed.
Jörg Hoormann +2 more
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Robust analyzes for longitudinal clinical trials with missing and non-normal continuous outcomes
Statistical Theory and Related Fields, 2023 Missing data is unavoidable in longitudinal clinical trials, and outcomes are not always normally distributed. In the presence of outliers or heavy-tailed distributions, the conventional multiple imputation with the mixed model with repeated measures ...
Siyi Liu +4 more
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Robust nonparametric estimation via wavelet median regression [PDF]
, 2008 In this paper we develop a nonparametric regression method that is simultaneously adaptive over a wide range of function classes for the regression function and robust over a large collection of error distributions, including those that are heavy-tailed,
Brown, Lawrence D. +2 more
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Understanding the determinants of happiness through Gallup World Poll
Journal of Family Medicine and Primary Care, 2020 Background: The idea of happiness is as old as civilization, but breakthrough is achieved only in 20th century. Happiness can be broadly segmented into biological and behavioural component. The sufferings from illnesses hamper happiness.
Vidushi Jaswal +4 more
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Model-robust regression and a Bayesian ``sandwich'' estimator [PDF]
, 2010 We present a new Bayesian approach to model-robust linear regression that leads to uncertainty estimates with the same robustness properties as the Huber--White sandwich estimator.
Lumley, Thomas +2 more
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MODIFIED FUZZY-ROBUST RIDGE REGRESSION FOR MULTICOLLINEAR, OUTLIER-CONTAMINATED DATA
Science Journal of University of ZakhoMulticollinearity is known to have a significant impact on the stability of linear regression parameter estimation, while the presence of outliers tends to compound this problem. Ridge regression helps to improve the multicollinearity problem, but it is
Vaman M Salih, Shelan S Ismaeel
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Robust regression with compositional covariates
Computational Statistics & Data Analysis, 2022 43 pages, 12 ...
Aditya Mishra, Christian L. Müller
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Significance Regression: Robust Regression for Collinear Data [PDF]
, 1993 This paper examines robust linear multivariable regression from collinear data. A brief review of M-estimators discusses the strengths of this approach for tolerating outliers and/or perturbations in the error distributions.
Holcomb, Tyler R., Morari, Manfred
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