Results 31 to 40 of about 383,950 (309)
Polynomial Regressions and Nonsense Inference
Econometrics, 2013 Polynomial specifications are widely used, not only in applied economics, but also in epidemiology, physics, political analysis and psychology, just to mention a few examples.
Daniel Ventosa-Santaulària +1 more
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Comparison the Robust Estimators Nonparametric of Nonparametric Regressions
Tikrit Journal of Pure Science, 2023 In order to get rid of or reduce the abnormal values of some phenomena that may be the reason for not obtaining the desired results. This makes us to get conclusions far from reality for the phenomenon we are studying.
Ali Fadhil Abduljabbar +1 more
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Machine Learning, 1996 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +3 more sources
Continuum Regression and Ridge Regression
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1993 SUMMARY We demonstrate the close relationship between first-factor continuum regression and standard ridge regression. The difference is that continuum regression inserts a scalar compensation factor for that part of the shrinkage in ridge regression that has no connection with tendencies towards collinearity.
openaire +2 more sources
Robust Algorithms for Change-Point Regressions Using the t-Distribution
Mathematics, 2021 Regression models with change-points have been widely applied in various fields. Most methodologies for change-point regressions assume Gaussian errors. For many real data having longer-than-normal tails or atypical observations, the use of normal errors
Kang-Ping Lu, Shao-Tung Chang
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Heterogeneous Overdispersed Count Data Regressions via Double-Penalized Estimations
Mathematics, 2022 Recently, the high-dimensional negative binomial regression (NBR) for count data has been widely used in many scientific fields. However, most studies assumed the dispersion parameter as a constant, which may not be satisfied in practice.
Shaomin Li, Haoyu Wei, Xiaoyu Lei
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo +9 more
wiley +1 more source
Improved Average Estimation in Seemingly Unrelated Regressions
Econometrics, 2020 In this paper, we propose an efficient weighted average estimator in Seemingly Unrelated Regressions. This average estimator shrinks a generalized least squares (GLS) estimator towards a restricted GLS estimator, where the restrictions represent possible
Ali Mehrabani, Aman Ullah
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Debiased/Double Machine Learning for Instrumental Variable Quantile Regressions
Econometrics, 2021 In this study, we investigate the estimation and inference on a low-dimensional causal parameter in the presence of high-dimensional controls in an instrumental variable quantile regression.
Jau-er Chen +2 more
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Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine +17 more
wiley +1 more source